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Research Article Research on the Numerical Simulation of the Nonlinear Dynamics of a Supercavitating Vehicle Tianhong Xiong, 1 Xianyi Li, 2 Yipin Lv, 1 and Wenjun Yi 1 1 National Key Laboratory of Transient Physics, Nanjing University of Science and Technology, Nanjing 210094, China 2 College of Mathematical Science, Yangzhou University, Yangzhou 225002, China Correspondence should be addressed to Xianyi Li; [email protected] Received 27 April 2016; Accepted 21 July 2016 Academic Editor: Dumitru I. Caruntu Copyright © 2016 Tianhong Xiong et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Little is known about the movement characteristics of the supercavitating vehicle navigating underwater. In this paper, based on a four-dimensional dynamical system of this vehicle, its complicated dynamical behaviors were analyzed in detail by numerical simulation, according to the phase trajectory diagram, the bifurcation diagram, and the Lyapunov exponential spectrum. e influence of control parameters (such as various cavitation numbers and fin deflection angles) on the movement characteristics of the supercavitating vehicle was mainly studied. When the system parameters vary, various complicated physical phenomena, such as Hopf bifurcation, periodic bifurcation, or chaos, can be observed. Most importantly, it was found that the parameter range of the vehicle in a stable movement state can be effectively determined by a two-dimensional bifurcation diagram and that the behavior of the vehicle in the supercavity can be controlled by selecting appropriate control parameters to ensure stable navigation. 1. Introduction Liquid vaporization of a liquid occurs at any point when the pressure at that point is reduced below a critical value. In the initial stage, the above phenomenon is microscopic. As time progresses macroscopically, small bubbles arise. Further, these macroscopic bubbles join to form larger cavum of steam and gas in the interface of the liquid or liquid and solid, known as cavities [1]. e emergence, development, and crumble processes of the cavity are called cavitation phenomena. Supercavitation is a state in which the cavity appears on the whole surface of the object and in the liquid near the end. In this state, the formed cavity is like a big steam bag, exceeding the end of the object or loading the entire object inside; hence the name is supercavity [1–3]. A dimensionless cavitation number that reflects the cavity is introduced to investigate the characteristic of the supercavity in a general case. e cavitation number is defined as = ( )/0.5 2 , where is the ambient pressure, is the cavity pressure, is the water density, and is the vehicle velocity [1]. Once the supercavity becomes stable, most of the vehicle’s surface is surrounded by gases and the resistance of the vehicle decreases sharply. is increases the navigation velocity and the distance travelled by the vehicle [2–4]. However, when a supercavitation vehicle is navigating at high speed under the water, most of the vehicle is surrounded by the cavity; the wet area will be significantly reduced, which results in the loss of most of the buoyancy. e parts of the vehicle that are in contact with water are mainly a cavitator in the front and fins at the rear of the vehicle. When coming into contact with the cavity wall, the fin will produce complex nonlinear planing force, which will increase the frictional resistance of the vehicle, causing vibrations and impact to the vehicle [5–10]. Hence, the key to ensuring stable underwater navigation of the vehicle lies in effectively controlling the behavior of the supercavitation vehicle and reducing the impact of the collision between the vehicle and the cavity wall. Based on a four-dimensional dynamical system of a supercavitating vehicle, its complicated physical phenomena were studied by means of multiple dynamical analysis, aiming at the complex nonlinear planing force, generated by the Hindawi Publishing Corporation Shock and Vibration Volume 2016, Article ID 8268071, 10 pages http://dx.doi.org/10.1155/2016/8268071
Transcript
Page 1: Research Article Research on the Numerical Simulation of ...downloads.hindawi.com/journals/sv/2016/8268071.pdf · Research on the Numerical Simulation of the Nonlinear Dynamics of

Research ArticleResearch on the Numerical Simulation of the NonlinearDynamics of a Supercavitating Vehicle

Tianhong Xiong1 Xianyi Li2 Yipin Lv1 and Wenjun Yi1

1National Key Laboratory of Transient Physics Nanjing University of Science and Technology Nanjing 210094 China2College of Mathematical Science Yangzhou University Yangzhou 225002 China

Correspondence should be addressed to Xianyi Li mathxyliyzueducn

Received 27 April 2016 Accepted 21 July 2016

Academic Editor Dumitru I Caruntu

Copyright copy 2016 Tianhong Xiong et alThis is an open access article distributed under theCreativeCommonsAttributionLicensewhich permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited

Little is known about the movement characteristics of the supercavitating vehicle navigating underwater In this paper based ona four-dimensional dynamical system of this vehicle its complicated dynamical behaviors were analyzed in detail by numericalsimulation according to the phase trajectory diagram the bifurcation diagram and the Lyapunov exponential spectrum Theinfluence of control parameters (such as various cavitation numbers and fin deflection angles) on the movement characteristicsof the supercavitating vehicle was mainly studied When the system parameters vary various complicated physical phenomenasuch as Hopf bifurcation periodic bifurcation or chaos can be observed Most importantly it was found that the parameter rangeof the vehicle in a stable movement state can be effectively determined by a two-dimensional bifurcation diagram and that thebehavior of the vehicle in the supercavity can be controlled by selecting appropriate control parameters to ensure stable navigation

1 Introduction

Liquid vaporization of a liquid occurs at any point when thepressure at that point is reduced below a critical value Inthe initial stage the above phenomenon is microscopic Astime progressesmacroscopically small bubbles arise Furtherthese macroscopic bubbles join to form larger cavum ofsteam and gas in the interface of the liquid or liquid andsolid known as cavities [1] The emergence developmentand crumble processes of the cavity are called cavitationphenomena Supercavitation is a state in which the cavityappears on the whole surface of the object and in the liquidnear the end In this state the formed cavity is like a big steambag exceeding the end of the object or loading the entireobject inside hence the name is supercavity [1ndash3]

A dimensionless cavitation number 120590 that reflects thecavity is introduced to investigate the characteristic of thesupercavity in a general case The cavitation number 120590 isdefined as 120590 = (119875

infinminus 119875119888)05120588119881

2 where 119875infin

is the ambientpressure 119875

119888is the cavity pressure 120588 is the water density and

119881 is the vehicle velocity [1] Once the supercavity becomes

stablemost of the vehiclersquos surface is surrounded by gases andthe resistance of the vehicle decreases sharply This increasesthe navigation velocity and the distance travelled by thevehicle [2ndash4] However when a supercavitation vehicle isnavigating at high speed under the water most of the vehicleis surrounded by the cavity the wet area will be significantlyreducedwhich results in the loss ofmost of the buoyancyTheparts of the vehicle that are in contact with water are mainlya cavitator in the front and fins at the rear of the vehicleWhen coming into contact with the cavity wall the fin willproduce complex nonlinear planing force whichwill increasethe frictional resistance of the vehicle causing vibrations andimpact to the vehicle [5ndash10] Hence the key to ensuringstable underwater navigation of the vehicle lies in effectivelycontrolling the behavior of the supercavitation vehicle andreducing the impact of the collision between the vehicle andthe cavity wall

Based on a four-dimensional dynamical system of asupercavitating vehicle its complicated physical phenomenawere studied bymeans ofmultiple dynamical analysis aimingat the complex nonlinear planing force generated by the

Hindawi Publishing CorporationShock and VibrationVolume 2016 Article ID 8268071 10 pageshttpdxdoiorg10115520168268071

2 Shock and Vibration

contact between the fins and the cavity walls The mostimportant finding of this study was that the region andparameter range of the vehicle in a stable movement stateare determined by the two-dimensional bifurcation diagramThe movement characteristics of the supercavitation vehicleunder different control parameters were also discussed indetail

To the best of our knowledge it is very difficult to find anyrelated work in this paper up till now

2 Dynamic Modeling ofthe Supercavitating Vehicle

21 Force Analysis When the underwater vehicle is navi-gating at high speed in the supercavitating state most ofthe vehicle will be enveloped by the cavity and only asmall part of the surface will have a contact with the waterWhile the cavitator at the front has a direct contact withwater the cavitator can rotate by a certain angle Differenthydrodynamic power can be provided for the vehicle withthe change of the angle and a planing force can be producedwhen the fin contacts with the cavity wall Four fins weresymmetrically arranged in the rear part of the vehicle Apart of the fin penetrates the cavity wall to have a directcontact with the water thus providing the required forceand momentum to stabilize and control the vehicle with thecavitator In this case the control surface is composed of thecavitator and the four fins [5] The deflection angles of thecavitator and the fins are usually selected as the feedbackcontrol inputs to ensure the stable underwater movementof the vehicle The shape and the force diagram of thesupercavitating vehicle are presented in Figure 1

The forces acting on the vehicle in its own coordinatesystem are indicated in Figure 1 The main forces include thelift force on the cavitator 119865cavitator the lift force on the fin119865fins the gravity at the centroid of the vehicle 119865gravity andthe planing force generated by the interaction between the finand the cavity wall 119865planing the last of which is a complicatednonlinear planing force that consequently causes vibrationand impact to the vehicleThe expression of the planing forceis as follows [11]

119865planing = minus1198812

[1 minus (

1198771015840

ℎ1015840+ 1198771015840)

2

](

1 + ℎ1015840

1 + 2ℎ1015840)120572 (1)

where 119881 is the velocity of the vehicle and 1198771015840

= (119877119888minus

119877)119877 where 119877119888and 119877 are the radius of the cavity and the

vehicle respectively The immersion depth of the aft of thesupercavitating vehicle ℎ1015840 is given as follows [11]

ℎ1015840

= tanh (119896119908) 119871

2119877119881

119891 (119908) (2)

where

119891 (119908) = 2119908 + (119908 + 1199081199050) tanh [minus119896 (119908 + 119908

1199050)]

+ (119908 minus 1199081199050) tanh [119896 (119908 minus 119908

1199050)]

(3)

Fin w

q

V

Ffin

FplaningFgravity Cavitator

FCavitator

Figure 1 Shape and force diagram of the supercavitating vehicle

0020 0024 0028 0032 0036minus60

0

20

40

minus20

minus40

120590

k

Figure 2 Dynamic behavior distribution diagram of the system

where the positive value of 119908 at the transition point is1199081199050

= (119877119888minus 119877)119881119871 and 119896 is a constant used to control the

approximated error which is generally set to 300The geometrical angle between the vehicle centerline

and the cavity centerline is the immersion angle 120572 of thesupercavitating vehicle expressed as [11]

120572 =

119908

119881

minus tanh (119896119908)119888

119881

(4)

where 119877119888is the cavity radius and

119888is the shrinkage ratio at a

distance 119871 from the cavitator

22 Dynamic Modeling Through the interactive relationshipbetween the vehicle and the cavity obtained in the previoussection the model can be established based on the forceequations [12] According to the coordinate system presentedin [13] the origin is the center of the disk cavitator at thefront of the supercavitating vehicle 119883-axis aligns with thesymmetry axis of the vehicle and points forward 119885-axis isperpendicular to119883-axis facing vertically downward and119908 isthe velocity in119885-axis direction119881 represents the longitudinalvelocity of the cavitator at the vehicle front and 120579 119902 and 119911

are the pitching angle pitching rate and depth of the vehiclerespectively

Shock and Vibration 3

120590

w

40

30

20

10

000360032002800240020

Figure 3 Bifurcation diagram varying with 120590 when 119896 = 1

13

12

11

10

09

0032500323003210031900317

120590

w

Figure 4 Bifurcation diagram for 00315 lt 120590 lt 00325

According to the theory of rigid body dynamics thefollowing relationship can be derived relating the abovevariables [13]

(

120579

) = (

0 1 minus119881 0

0 11988622

0 11988624

0 0 0 1

0 11988642

0 11988644

)(

119911

119908

120579

119902

)

+(

0 0

11988721

11988722

0 0

11988741

11988742

)(

120575119890

120575119888

) +(

0

1198882

0

0

)

+(

0

1198892

0

1198894

)119865planing

(5)

where

11988622=

119862119881119879

119898

(

minus1 minus 119899

119871

) 119878 +

17

36

119899119871

11988624= 119881119879119878 (119862

minus119899

119898

+

7

9

) minus 119881119879(119862

minus119899

119898

+

17

36

)

17

36

1198712

11988642=

119862119881119879

119898

(

17

36

minus

11119899

36

)

11988644=

minus11119862119881119879119899119871

36119898

11988721=

1198621198812

119879119899

119898

(

minus119878

119871

+

17119871

36

)

11988722=

minus1198621198812

119879119878

119898119871

11988741=

minus111198621198812

119879119899

36119898

11988742=

171198621198812

119879

36119898

1198882= 119892

4 Shock and Vibration

30

20

0

minus10

minus20200minus20minus40minus60minus80

k

w

10

Figure 5 Bifurcation diagram varying with 119896 when 120590 = 00315

15

10

05

0

minus05

k

w

minus50minus55minus60minus65minus70minus75minus80

Figure 6 Bifurcation diagram for minus80 lt 119896 lt minus50

minus0001 0 0001006

007

008

009

010

Equilibrium point

q (rads )

w(m

middotsminus1)

(a)

0 5 10 15

minus100

minus80

minus60

minus40

minus20

0

20

Lyap

unov

expo

nent

spec

trum

t (s)

(b)

Figure 7 (a) Phase trajectory diagram in 119908 minus 120579 plane and (b) Lyapunov exponent spectrum

1198892=

119879

119898

(

minus17119871

36

+

119878

119871

)

1198894=

11119879

36119898

119878 =

11

60

1198772

+

1331198712

405

119879 =

1

71198789 minus 28911987121296

119862 = 051198621199090(1 + 120590) (

119877119899

119877

)

2

(6)

Shock and Vibration 5

1 2 3 4 5minus010

minus005

0

005

010

t (s)

z(m

)

(a) Vertical position

0 1 2 3 4 5minus15

minus10

minus05

0

05

10

15

t (s)

w(m

middotsminus1)

(b) Transverse speed

0 1 2 3 4 5minus0010

minus0005

0

0005

0010

t (s)

120579(r

ad)

(c) Pitch angle

0 1 2 3 4 5minus4

minus2

0

2

4

6

8

t (s)

q(r

ads

)

(d) Pitch rate

1 2 3 4 5minus1

0

1

2

3

t (s)

ℎp

(m)

(e) Immersion depth

0 1 2 3 4 5minus100

0

100

200

300

t (s)

Fp

(N)

(f) Planing force

Figure 8 The motion state of the system when 119896 = minus2195

The feedback controller is designed for the supercavi-tating vehicle with control inputs being the deflection 120575

119890of

the fin and the deflection 120575119888of the cavitator 120575

119890= 119896119911 and

120575119888= 15119911 minus 30120579 minus 03119902 [12 14] were adopted in this paper

where 119896 is the feedback gain of the control variable 119911

3 Dynamic Behavior of the UnderwaterSupercavitating Vehicle

According to [15] the system parameters of the supercavi-tation vehicle are as follows 119892 = 981ms2 119898 = 2 119877

119899=

00191m 119877 = 00508m 119871 = 18m 119881 isin [677 923]ms120590 isin [00198 00368] 119899 = 05 and 119862

1199090= 082 To realize

the stablemovement of the supercavitating vehicle the effectsof cavitation number 120590 and the fin control law 119896 on thestable movement state of the vehicle were analyzed basedon the four-dimensional dynamical system Here the restof the parameters remain constant and the two-dimensionalbifurcation diagram (120590 119896) is presented in Figure 2 where theparameters are the cavitation number 120590 and the control gain119896 of the fin deflection angle 120575

119890

6 Shock and Vibration

minus06 minus04 minus02 0 02 04

08

10

12

14

16

18

20

q (rads)

w(m

middotsminus1)

(a)

0 5 10 15minus100

minus80

minus60

minus40

minus20

0

20

t (s)

Lyap

unov

expo

nent

spec

trum

(b)

Figure 9 (a) Phase trajectory diagram in 119908 minus 120579 plane when 119896 = 5 and (b) Lyapunov exponent spectrum

In the phase space of (120590 119896) the dynamic behavior of thesystem is presented in Figure 2 The horizontal section isthe bifurcation diagram of the system for different cavitationnumbers 120590 and the vertical section is the bifurcation diagramof the system when the control gain 119896 varies The parameterranges for different system states can be determined bythe two-dimensional bifurcation diagram The region in redrepresents the stable movement state of the vehicle whichmeans the vehicle will navigate steadily when 120590 and 119896 areequal to the values corresponding to any point (120590 119896) withinthis region The green area shows the periodic oscillatorynature of the vehiclemovement whichmeans that the vehiclewill oscillate periodically and hence will become unstableMoreover the vehicle navigating with the states of the yellowarea will suffer from vibration and impact and then collapseWhen the vehicle alters from the steady state to the periodicstate the Hopf bifurcation occurs The boundary betweenthe red and green regions that is the critical switching lineof the stable state and the periodic state is also called theHopf bifurcation line Similarly the boundary between thegreen and yellow areas indicates the switch between theperiodic and chaotic states where the physical phenomenasuch as tangent bifurcation and period doubling bifurcationcan occur

It can be observed from (1) that in the four-dimensionaldynamical system of the underwater vehicle only the planingforce 119865planing is the nonlinear force associated with thesystem state variable and the vertical velocity 119908 This isprimarily attributed to the fact that the complicated nonlinearforce acts on the fin of the vehicle that the vehicle suffersfrom vibration impact and even collapse due to unstablemovement Therefore the nonlinear dynamic characteristicscan be further understood by analyzing the system from thepoint of view of nonlinearity thus preparing for the stablecontrol of the supercavitating vehicle

31 Nonlinear Dynamical Characteristic of the Vehicle underDifferent Cavitation Values According to the dynamicalbehavior distribution diagram presented in Figure 2 thebifurcation diagram between the system state variable 119908 and

the cavitation number 120590 is provided in Figure 3 (119896 = 1 ie120575119890= 119911 and 120575

119888= 15119911 minus 30120579 minus 03119902) Some simple explanations

are given as followsWhen the cavitation number 120590 of the system falls in

the range of [00198 002687] the trajectory of the vehicleconverges to a stable equilibrium point

When 120590 is equal to 002687 the Hopf bifurcation occursas a result of which the stable equilibrium point becomes thestable periodic trajectory and the vehicle oscillates periodi-cally

After a series of period doubling bifurcation the systemfalls into a chaotic state and the vehicle suffers from hugeimpact When the cavitation number 120590 is approximately003083 the system has three stable periodic trajectories

The bifurcation diagram shown in Figure 3 when 120590 isin

[00315 00325] is magnified in Figure 4 which depicts thediversified bifurcation behaviors of the system

After a series of period doubling bifurcations the systemshifts from three periodic trajectories into three huge chaoticattractors respectively when 120590 is approximately 003197 thisphenomenon is referred to as chaos crisis [12]

When 120590 is equal to 0032 the chaotic attractors suddenlychange into periodic trajectories and form one period-2window and two period-3 windows This phenomenon isreferred to as tangent bifurcation The tangent bifurcationwill cause intermittent chaos and the periodic trajectoriessuddenly develop chaotic bands in the periodic window afterexperiencing a period doubling bifurcation

When 120590 is equal to 003204 the secondary chaotic bandcoincides with the unstable periodic trajectories which thencauses the chaotic crisis The secondary narrow chaotic bandwill then transform into a broad chaotic band

With the increase of 120590 the obvious period-2 windowoccurs for 120590 isin [003207 003225] and when 120590 is approxi-mately 0032228 the broad chaotic band suddenly changesinto two periodic trajectories

32 Nonlinear Dynamic Characteristic of the Vehicle underDifferent Fin Deflection Angles When the cavitation number

Shock and Vibration 7

10 15 200044

0045

0046

0047

0048

z(m

)

t (s)

(a) Vertical position

10 15 2010

15

20

t (s)

w(m

middotsminus1)

(b) Transverse speed

10 15 200020

0021

0022

t (s)

120579(r

ad)

(c) Pitch angle

10 15 20minus03

minus02

minus01

0

01

02

03

q(r

ads

)

t (s)

(d) Pitch rate

minus002

0

002

004

006

008

15 2010t (s)

hp

(m)

(e) Immersion depth

10 15 20minus20

0

20

40

60

80

t (s)

Fp

(N)

(f) Planing force

Figure 10 The motion state of the system when 119896 = 5

is set as 120590 = 00315 the cavitator deflection angle is 120575119888=

15119911 minus 30120579 minus 03119902 and the fin deflection angle is 120575119890= 119896119911 The

bifurcation diagram of the supercavitating vehicle betweenthe system state variable 119908 and the control gain 119896 of the findeflection angle is presented in Figure 5 According to thedynamical behavior distribution presented in Figure 2 the

effective range of the control gain 119896 for the supercavitatingvehicle is presented in Figure 5 when 120590 = 00315

Figure 5 shows that when 119896 falls within the wider range[minus7614 minus5238] the system is in a chaotic state and finallythe period-2 trajectory occurs through period doublingbifurcation

8 Shock and Vibration

minus04 minus02 0 02 04 06minus20

minus10

0

10

20

q (rads)

w(m

middotsminus1)

(a)

0 5 10 15

minus100

minus80

minus60

minus40

minus20

0

20

Lyap

unov

expo

nent

spec

trum

t (s)

(b)

Figure 11 (a) Phase trajectory diagram in 119908 minus 120579 plane when 119896 = minus55 and (b) Lyapunov exponent spectrum

When 119896 is approximately 856 the periodic state endsand the system is in the divergent state The correspondingmagnified part in Figure 5 for minus80 lt 119896 lt minus50 is givenin Figure 6 which indicates that the system changes from aperiodic state into a chaotic state when 119896 = minus779

When 119896 is approximately minus7754 the tangent bifurcationoccurs leading to an intermittent chaos and forming theperiod-3 windows and then three stable periodic trajectories

The period doubling bifurcations occur for the threetrajectories when 119896 is approximately minus77 minus7616 or minus755When 119896 is approximately minus746 the secondary chaotic bandand the unstable periodic trajectories converge into chaos

When 119896 is approximately minus7358 the tangent bifurcationoccurs The system suddenly switches from chaotic state toperiodic state and the period-three windows forms With theoccurrence of a series of period doubling bifurcation thesystem enters into the chaotic state again when 119896 is betweenminus7118 andminus5264 uponwhich the system switches back fromthe chaotic state to the periodic state

4 Movement Characteristic Analysis of theUnderwater Supercavitating Vehicle

When the system of the supercavitating vehicle is not con-trolled the movement state of the system is unstable [12 14]To investigate its movement characteristics alone accordingto the two-dimensional bifurcation diagram the rest of theparameters of the system should be kept constant Assumingthat 120590 is equal to 00315 the feedback control laws 120575

119888=

15119911 minus 30120579 minus 03119902 and 120575119890= minus2195119911 which corresponds to

the point (00315 minus2195) in the red stable movement area inFigure 2Thephase trajectory diagram is shown in Figure 7(a)when the control gain of the fin deflection angle 119896 is equal tominus2195

It can be observed that when 119896 = minus2195 the phasetrajectory of the system gradually stabilizes at an equilibriumpointThe Lyapunov exponent spectrum as a function of time

is presented in Figure 7(b) in which the values of the largestLyapunov exponent curve are negative within a finite time

The motion state of the supercavitating vehicle is pre-sented in Figure 8 inwhich the system state variables namelythe vertical position 119911 the transverse speed119908 the pitch angle120579 and the pitch rate 119902 are attracted to the equilibrium point(00047 00866 00012 0) with less settling time under thecontrol of the law of stable movement

Figures 8(e) and 8(f) demonstrate that the immersiondepth ℎ

1015840 of the fin and the corresponding planing force 119865119901

are both 0 This indicates that the fin is inside the cavity anddoes not have any contact with the cavity the vehicle is in astable navigation state

When 120590 is equal to 00315 the feedback control laws are120575119888= 15119911 minus 30120579 minus 03119902 and 120575

119890= 3119911 which corresponds to the

point (00315 3) in the green periodic oscillation region inFigure 2

Figure 9(a) tells us that the phase trajectory is a limitcycle with period 2 when the control gain of the fin deflectionangle 119896 is equal to 3 The Lyapunov exponent spectrumcorresponding to 119896 = 3 is shown in Figure 9(b) It is notdifficult to find that the system approximately has a zeroLyapunov exponent and three negative Lyapunov exponents

The motion state of the supercavitating vehicle is shownin Figure 10 in which the system state variables namelythe vertical position 119911 the transverse speed119908 the pitch angle120579 and the pitch rate velocity 119902 oscillate periodically at theequilibrium point (00416 13937 00190 0)

The immersion depth ℎ1015840 of the fin oscillates periodically

in the range of [0 006] (in m) which indicates that thevehicle continuously collides with the cavity wall

The fin is inside the cavity at times and does not come incontact with the cavity which results in zero planing force119865119901 The fin penetrates the cavity into the water at times

and produces the planing force oscillating periodically in therange of [0 48] (in N) The above actions repeat again andagain and such phenomenon is referred to as ldquofin attackphenomenonrdquo It also indicates that the vehicle is in anunstable periodic oscillating state

Shock and Vibration 9

0 05 10minus006

minus004

minus002

0

002

004

006

008

010

z(m

)

t (s)

(a) Vertical position

0 05 10t (s)

minus3

minus2

minus1

0

1

2

3

w(m

middotsminus1)

(b) Transverse speed

0 05 10minus0004

minus0002

0

0002

0004

t (s)

120579(r

ad)

(c) Pitch angle

0 05 10minus10

minus05

0

05

10

t (s)

q(r

ads

)

(d) Pitch rate

0 05 10minus002

0

002

004

006

008

t (s)

hp

(m)

(e) Immersion depth

0 05 10minus60

minus40

minus20

0

20

40

60

80

t (s)

Fp

(N)

(f) Planing force

Figure 12 The motion state of the system when 119896 = 55

When 120590 is equal to 00315 the feedback control laws of120575119888= 15119911 minus 30120579 minus 03119902 and 120575

119890= minus55119911 are selected which

corresponds to the point (00315 minus55) in the yellow chaoticarea in Figure 2

Figure 11(a) demonstrates that the phase trajectory is achaotic attractor when the control gain of the fin deflectionangle 119896 is equal to minus55 which indicates that the chaoshas occurred and the movement of the vehicle has the

characteristics of a nonlinear dynamic behavior The Lya-punov exponent spectrum corresponding to 119896 = minus55 isgiven in Figure 11(b) It is relatively easy to find that thesystem has a positive Lyapunov exponent and three negativeLyapunov exponents suggesting that the system is in a four-dimensional chaotic state

The motion state of the system is presented in Figure 12After the launch of the supercavitating vehicle the four

10 Shock and Vibration

system state variables namely 119911119908 120579 and 119902 are in the intensenonperiodic oscillating stateThus the vehicle in motion willexperience instability

It can be observed fromFigures 12(e) and 12(f) that withinthe time range of [1 2] (values in 119904) the fin of the vehicleis continuously into contact with the cavity wall under theaction of gravity and produces the planing forceThe planingforce increases gradually with the increase of immersiondepth and the vehicle will rebound inside the cavity whichresults in the loss of the planing force The above actionsrepeat subsequently and the planing force oscillates Theexistence of the planing force will cause vibration and impactto the vehicle resulting in the loss of stability of the vehicleTherefore precise control must be exerted on the vehicle toavoid the above situations [16 17]

5 Conclusions

Thenonlinear dynamic characteristicmovement states underdifferent control parameters of the supercavitating vehiclewere analyzed based on a four-dimensional dynamical modelof the vehicle The following conclusions have been mainlyderived

(1) The movement trajectories of the supercavitatingvehicle have complicated dynamical behavior thesystem will experience Hopf bifurcation periodicalwindows chaos and other nonlinear phenomenawhen the control parameters vary

(2) The movement state of the vehicle under differentcontrol parameters was numerically and preciselyanalyzed according to the phase trajectory diagramthe bifurcation diagram and the Lyapunov exponen-tial spectrum

(3) Most importantly the authors were the first tofind that the range of parameters of the vehicle inany movement state can be determined by a two-dimensional bifurcation diagram The importance ofselecting appropriate control parameters to realize thestable navigation of the supercavitating vehicle wasdemonstrated

It is believed that the work presented in this paper is ofgreat importance for further studies on the stable controlof the underwater supercavitating vehicles especially forengineering practice

Competing Interests

The authors declare that there is no conflict of interestsregarding the publication of this paper

Acknowledgments

This work is supported by the National Natural ScienceFoundation of China (nos 11472163 11402116 and 61473340)

References

[1] G Wang and M Ostoja-Starzewski ldquoLarge eddy simulationof a sheetcloud cavitation on a NACA0015 hydrofoilrdquo AppliedMathematical Modelling vol 31 no 3 pp 417ndash447 2007

[2] Q T Li Y S He and L P Xue ldquoA numerical simulationof pitching motion of the ventilated supercaviting vehicleapproximately its frontrdquo Chinese Journal of Hydrodynamics vol26 no 6 pp 589ndash685 2011

[3] A K Singhal M M Athavale H Li and Y Jiang ldquoMathemati-cal basis and validation of the full cavitation modelrdquo Journal ofFluids Engineering vol 124 no 3 pp 617ndash624 2002

[4] Y N Savchenko ldquoSupercavitation problems and perspectivesrdquoin Proceedings of the 4th International Symposium onCavitationPasadena Calif USA April 2001

[5] M A Hassouneh and E H Abed ldquoLyapunov and LMI analysisand feedback control of border collision bifurcationsrdquo Nonlin-ear Dynamics vol 50 no 3 pp 373ndash386 2007

[6] Y J Wei J H Wang J Z Zhang W Cao and W H HuangldquoNonlinear dynamics and control of underwater supercavitat-ing vehiclerdquo Journal of Vibration And Shock vol 28 no 6 pp179ndash204 2009

[7] S S Kulkarni and R Pratap ldquoStudies on the dynamics ofa supercavitating projectilerdquo Applied Mathematical Modellingvol 24 no 2 pp 113ndash129 2000

[8] J-Y Choi M Ruzzene and O A Bauchau ldquoDynamic anal-ysis of flexible supercavitating vehicles using modal-basedelementsrdquo Simulation vol 80 no 11 pp 619ndash633 2004

[9] B Feeny ldquoA nonsmooth Coulomb friction oscillatorrdquo Physica DNonlinear Phenomena vol 59 no 1ndash3 pp 25ndash38 1992

[10] A D Vasin and E V Paryshev ldquoImmersion of cylinder in a fluidthrough a cylindrical free surfacerdquo Fluid Dynamics vol 36 no2 pp 169ndash177 2001

[11] G Lin B Balachandran and E Abed ldquoSupercavitating bodydynamics bifurcations and controlrdquo in Proceedings of theAmerican Control Conference (ACC rsquo05) pp 691ndash696 PortlandOre USA June 2005

[12] J Dzielski and A Kurdila ldquoA benchmark control problemfor supercavitating vehicles and an initial investigation ofsolutionsrdquo Journal of Vibration amp Control vol 9 no 7 pp 791ndash804 2003

[13] G J Lin B Balakumar and H A Eysd ldquoBifurcation behaviorof a supercavitating vehiclerdquo in Proceedings of the ASMEInternational Mechanical Engineering Congress and Expositionpp 293ndash300 Chicago Ill USA November 2006

[14] G J Lin B Balachandran and E H Abed ldquoDynamics andcontrol of supercavitating vehiclesrdquo Journal of Dynamic SystemsMeasurement and Control vol 130 no 2 Article ID 021003 pp281ndash287 2008

[15] M A Hassouneh V Nguyen B Balachandran and E HAbed ldquoStability analysis and control of supercavitating vehicleswith advection delayrdquo Journal of Computational and NonlinearDynamics vol 8 no 2 Article ID 021003 2012

[16] G Lin B Balachandran and E H Abed ldquoNonlinear dynamicsand bifurcations of a supercavitating vehiclerdquo IEEE Journal ofOceanic Engineering vol 32 no 4 pp 753ndash761 2007

[17] J H Wang Y J Wei and K P Yu ldquoModeling and control ofunderwater supercavitating vehicle based on memory effect ofcavityrdquo Journal of Vibration And Shock vol 29 no 8 pp 160ndash163 2010

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Page 2: Research Article Research on the Numerical Simulation of ...downloads.hindawi.com/journals/sv/2016/8268071.pdf · Research on the Numerical Simulation of the Nonlinear Dynamics of

2 Shock and Vibration

contact between the fins and the cavity walls The mostimportant finding of this study was that the region andparameter range of the vehicle in a stable movement stateare determined by the two-dimensional bifurcation diagramThe movement characteristics of the supercavitation vehicleunder different control parameters were also discussed indetail

To the best of our knowledge it is very difficult to find anyrelated work in this paper up till now

2 Dynamic Modeling ofthe Supercavitating Vehicle

21 Force Analysis When the underwater vehicle is navi-gating at high speed in the supercavitating state most ofthe vehicle will be enveloped by the cavity and only asmall part of the surface will have a contact with the waterWhile the cavitator at the front has a direct contact withwater the cavitator can rotate by a certain angle Differenthydrodynamic power can be provided for the vehicle withthe change of the angle and a planing force can be producedwhen the fin contacts with the cavity wall Four fins weresymmetrically arranged in the rear part of the vehicle Apart of the fin penetrates the cavity wall to have a directcontact with the water thus providing the required forceand momentum to stabilize and control the vehicle with thecavitator In this case the control surface is composed of thecavitator and the four fins [5] The deflection angles of thecavitator and the fins are usually selected as the feedbackcontrol inputs to ensure the stable underwater movementof the vehicle The shape and the force diagram of thesupercavitating vehicle are presented in Figure 1

The forces acting on the vehicle in its own coordinatesystem are indicated in Figure 1 The main forces include thelift force on the cavitator 119865cavitator the lift force on the fin119865fins the gravity at the centroid of the vehicle 119865gravity andthe planing force generated by the interaction between the finand the cavity wall 119865planing the last of which is a complicatednonlinear planing force that consequently causes vibrationand impact to the vehicleThe expression of the planing forceis as follows [11]

119865planing = minus1198812

[1 minus (

1198771015840

ℎ1015840+ 1198771015840)

2

](

1 + ℎ1015840

1 + 2ℎ1015840)120572 (1)

where 119881 is the velocity of the vehicle and 1198771015840

= (119877119888minus

119877)119877 where 119877119888and 119877 are the radius of the cavity and the

vehicle respectively The immersion depth of the aft of thesupercavitating vehicle ℎ1015840 is given as follows [11]

ℎ1015840

= tanh (119896119908) 119871

2119877119881

119891 (119908) (2)

where

119891 (119908) = 2119908 + (119908 + 1199081199050) tanh [minus119896 (119908 + 119908

1199050)]

+ (119908 minus 1199081199050) tanh [119896 (119908 minus 119908

1199050)]

(3)

Fin w

q

V

Ffin

FplaningFgravity Cavitator

FCavitator

Figure 1 Shape and force diagram of the supercavitating vehicle

0020 0024 0028 0032 0036minus60

0

20

40

minus20

minus40

120590

k

Figure 2 Dynamic behavior distribution diagram of the system

where the positive value of 119908 at the transition point is1199081199050

= (119877119888minus 119877)119881119871 and 119896 is a constant used to control the

approximated error which is generally set to 300The geometrical angle between the vehicle centerline

and the cavity centerline is the immersion angle 120572 of thesupercavitating vehicle expressed as [11]

120572 =

119908

119881

minus tanh (119896119908)119888

119881

(4)

where 119877119888is the cavity radius and

119888is the shrinkage ratio at a

distance 119871 from the cavitator

22 Dynamic Modeling Through the interactive relationshipbetween the vehicle and the cavity obtained in the previoussection the model can be established based on the forceequations [12] According to the coordinate system presentedin [13] the origin is the center of the disk cavitator at thefront of the supercavitating vehicle 119883-axis aligns with thesymmetry axis of the vehicle and points forward 119885-axis isperpendicular to119883-axis facing vertically downward and119908 isthe velocity in119885-axis direction119881 represents the longitudinalvelocity of the cavitator at the vehicle front and 120579 119902 and 119911

are the pitching angle pitching rate and depth of the vehiclerespectively

Shock and Vibration 3

120590

w

40

30

20

10

000360032002800240020

Figure 3 Bifurcation diagram varying with 120590 when 119896 = 1

13

12

11

10

09

0032500323003210031900317

120590

w

Figure 4 Bifurcation diagram for 00315 lt 120590 lt 00325

According to the theory of rigid body dynamics thefollowing relationship can be derived relating the abovevariables [13]

(

120579

) = (

0 1 minus119881 0

0 11988622

0 11988624

0 0 0 1

0 11988642

0 11988644

)(

119911

119908

120579

119902

)

+(

0 0

11988721

11988722

0 0

11988741

11988742

)(

120575119890

120575119888

) +(

0

1198882

0

0

)

+(

0

1198892

0

1198894

)119865planing

(5)

where

11988622=

119862119881119879

119898

(

minus1 minus 119899

119871

) 119878 +

17

36

119899119871

11988624= 119881119879119878 (119862

minus119899

119898

+

7

9

) minus 119881119879(119862

minus119899

119898

+

17

36

)

17

36

1198712

11988642=

119862119881119879

119898

(

17

36

minus

11119899

36

)

11988644=

minus11119862119881119879119899119871

36119898

11988721=

1198621198812

119879119899

119898

(

minus119878

119871

+

17119871

36

)

11988722=

minus1198621198812

119879119878

119898119871

11988741=

minus111198621198812

119879119899

36119898

11988742=

171198621198812

119879

36119898

1198882= 119892

4 Shock and Vibration

30

20

0

minus10

minus20200minus20minus40minus60minus80

k

w

10

Figure 5 Bifurcation diagram varying with 119896 when 120590 = 00315

15

10

05

0

minus05

k

w

minus50minus55minus60minus65minus70minus75minus80

Figure 6 Bifurcation diagram for minus80 lt 119896 lt minus50

minus0001 0 0001006

007

008

009

010

Equilibrium point

q (rads )

w(m

middotsminus1)

(a)

0 5 10 15

minus100

minus80

minus60

minus40

minus20

0

20

Lyap

unov

expo

nent

spec

trum

t (s)

(b)

Figure 7 (a) Phase trajectory diagram in 119908 minus 120579 plane and (b) Lyapunov exponent spectrum

1198892=

119879

119898

(

minus17119871

36

+

119878

119871

)

1198894=

11119879

36119898

119878 =

11

60

1198772

+

1331198712

405

119879 =

1

71198789 minus 28911987121296

119862 = 051198621199090(1 + 120590) (

119877119899

119877

)

2

(6)

Shock and Vibration 5

1 2 3 4 5minus010

minus005

0

005

010

t (s)

z(m

)

(a) Vertical position

0 1 2 3 4 5minus15

minus10

minus05

0

05

10

15

t (s)

w(m

middotsminus1)

(b) Transverse speed

0 1 2 3 4 5minus0010

minus0005

0

0005

0010

t (s)

120579(r

ad)

(c) Pitch angle

0 1 2 3 4 5minus4

minus2

0

2

4

6

8

t (s)

q(r

ads

)

(d) Pitch rate

1 2 3 4 5minus1

0

1

2

3

t (s)

ℎp

(m)

(e) Immersion depth

0 1 2 3 4 5minus100

0

100

200

300

t (s)

Fp

(N)

(f) Planing force

Figure 8 The motion state of the system when 119896 = minus2195

The feedback controller is designed for the supercavi-tating vehicle with control inputs being the deflection 120575

119890of

the fin and the deflection 120575119888of the cavitator 120575

119890= 119896119911 and

120575119888= 15119911 minus 30120579 minus 03119902 [12 14] were adopted in this paper

where 119896 is the feedback gain of the control variable 119911

3 Dynamic Behavior of the UnderwaterSupercavitating Vehicle

According to [15] the system parameters of the supercavi-tation vehicle are as follows 119892 = 981ms2 119898 = 2 119877

119899=

00191m 119877 = 00508m 119871 = 18m 119881 isin [677 923]ms120590 isin [00198 00368] 119899 = 05 and 119862

1199090= 082 To realize

the stablemovement of the supercavitating vehicle the effectsof cavitation number 120590 and the fin control law 119896 on thestable movement state of the vehicle were analyzed basedon the four-dimensional dynamical system Here the restof the parameters remain constant and the two-dimensionalbifurcation diagram (120590 119896) is presented in Figure 2 where theparameters are the cavitation number 120590 and the control gain119896 of the fin deflection angle 120575

119890

6 Shock and Vibration

minus06 minus04 minus02 0 02 04

08

10

12

14

16

18

20

q (rads)

w(m

middotsminus1)

(a)

0 5 10 15minus100

minus80

minus60

minus40

minus20

0

20

t (s)

Lyap

unov

expo

nent

spec

trum

(b)

Figure 9 (a) Phase trajectory diagram in 119908 minus 120579 plane when 119896 = 5 and (b) Lyapunov exponent spectrum

In the phase space of (120590 119896) the dynamic behavior of thesystem is presented in Figure 2 The horizontal section isthe bifurcation diagram of the system for different cavitationnumbers 120590 and the vertical section is the bifurcation diagramof the system when the control gain 119896 varies The parameterranges for different system states can be determined bythe two-dimensional bifurcation diagram The region in redrepresents the stable movement state of the vehicle whichmeans the vehicle will navigate steadily when 120590 and 119896 areequal to the values corresponding to any point (120590 119896) withinthis region The green area shows the periodic oscillatorynature of the vehiclemovement whichmeans that the vehiclewill oscillate periodically and hence will become unstableMoreover the vehicle navigating with the states of the yellowarea will suffer from vibration and impact and then collapseWhen the vehicle alters from the steady state to the periodicstate the Hopf bifurcation occurs The boundary betweenthe red and green regions that is the critical switching lineof the stable state and the periodic state is also called theHopf bifurcation line Similarly the boundary between thegreen and yellow areas indicates the switch between theperiodic and chaotic states where the physical phenomenasuch as tangent bifurcation and period doubling bifurcationcan occur

It can be observed from (1) that in the four-dimensionaldynamical system of the underwater vehicle only the planingforce 119865planing is the nonlinear force associated with thesystem state variable and the vertical velocity 119908 This isprimarily attributed to the fact that the complicated nonlinearforce acts on the fin of the vehicle that the vehicle suffersfrom vibration impact and even collapse due to unstablemovement Therefore the nonlinear dynamic characteristicscan be further understood by analyzing the system from thepoint of view of nonlinearity thus preparing for the stablecontrol of the supercavitating vehicle

31 Nonlinear Dynamical Characteristic of the Vehicle underDifferent Cavitation Values According to the dynamicalbehavior distribution diagram presented in Figure 2 thebifurcation diagram between the system state variable 119908 and

the cavitation number 120590 is provided in Figure 3 (119896 = 1 ie120575119890= 119911 and 120575

119888= 15119911 minus 30120579 minus 03119902) Some simple explanations

are given as followsWhen the cavitation number 120590 of the system falls in

the range of [00198 002687] the trajectory of the vehicleconverges to a stable equilibrium point

When 120590 is equal to 002687 the Hopf bifurcation occursas a result of which the stable equilibrium point becomes thestable periodic trajectory and the vehicle oscillates periodi-cally

After a series of period doubling bifurcation the systemfalls into a chaotic state and the vehicle suffers from hugeimpact When the cavitation number 120590 is approximately003083 the system has three stable periodic trajectories

The bifurcation diagram shown in Figure 3 when 120590 isin

[00315 00325] is magnified in Figure 4 which depicts thediversified bifurcation behaviors of the system

After a series of period doubling bifurcations the systemshifts from three periodic trajectories into three huge chaoticattractors respectively when 120590 is approximately 003197 thisphenomenon is referred to as chaos crisis [12]

When 120590 is equal to 0032 the chaotic attractors suddenlychange into periodic trajectories and form one period-2window and two period-3 windows This phenomenon isreferred to as tangent bifurcation The tangent bifurcationwill cause intermittent chaos and the periodic trajectoriessuddenly develop chaotic bands in the periodic window afterexperiencing a period doubling bifurcation

When 120590 is equal to 003204 the secondary chaotic bandcoincides with the unstable periodic trajectories which thencauses the chaotic crisis The secondary narrow chaotic bandwill then transform into a broad chaotic band

With the increase of 120590 the obvious period-2 windowoccurs for 120590 isin [003207 003225] and when 120590 is approxi-mately 0032228 the broad chaotic band suddenly changesinto two periodic trajectories

32 Nonlinear Dynamic Characteristic of the Vehicle underDifferent Fin Deflection Angles When the cavitation number

Shock and Vibration 7

10 15 200044

0045

0046

0047

0048

z(m

)

t (s)

(a) Vertical position

10 15 2010

15

20

t (s)

w(m

middotsminus1)

(b) Transverse speed

10 15 200020

0021

0022

t (s)

120579(r

ad)

(c) Pitch angle

10 15 20minus03

minus02

minus01

0

01

02

03

q(r

ads

)

t (s)

(d) Pitch rate

minus002

0

002

004

006

008

15 2010t (s)

hp

(m)

(e) Immersion depth

10 15 20minus20

0

20

40

60

80

t (s)

Fp

(N)

(f) Planing force

Figure 10 The motion state of the system when 119896 = 5

is set as 120590 = 00315 the cavitator deflection angle is 120575119888=

15119911 minus 30120579 minus 03119902 and the fin deflection angle is 120575119890= 119896119911 The

bifurcation diagram of the supercavitating vehicle betweenthe system state variable 119908 and the control gain 119896 of the findeflection angle is presented in Figure 5 According to thedynamical behavior distribution presented in Figure 2 the

effective range of the control gain 119896 for the supercavitatingvehicle is presented in Figure 5 when 120590 = 00315

Figure 5 shows that when 119896 falls within the wider range[minus7614 minus5238] the system is in a chaotic state and finallythe period-2 trajectory occurs through period doublingbifurcation

8 Shock and Vibration

minus04 minus02 0 02 04 06minus20

minus10

0

10

20

q (rads)

w(m

middotsminus1)

(a)

0 5 10 15

minus100

minus80

minus60

minus40

minus20

0

20

Lyap

unov

expo

nent

spec

trum

t (s)

(b)

Figure 11 (a) Phase trajectory diagram in 119908 minus 120579 plane when 119896 = minus55 and (b) Lyapunov exponent spectrum

When 119896 is approximately 856 the periodic state endsand the system is in the divergent state The correspondingmagnified part in Figure 5 for minus80 lt 119896 lt minus50 is givenin Figure 6 which indicates that the system changes from aperiodic state into a chaotic state when 119896 = minus779

When 119896 is approximately minus7754 the tangent bifurcationoccurs leading to an intermittent chaos and forming theperiod-3 windows and then three stable periodic trajectories

The period doubling bifurcations occur for the threetrajectories when 119896 is approximately minus77 minus7616 or minus755When 119896 is approximately minus746 the secondary chaotic bandand the unstable periodic trajectories converge into chaos

When 119896 is approximately minus7358 the tangent bifurcationoccurs The system suddenly switches from chaotic state toperiodic state and the period-three windows forms With theoccurrence of a series of period doubling bifurcation thesystem enters into the chaotic state again when 119896 is betweenminus7118 andminus5264 uponwhich the system switches back fromthe chaotic state to the periodic state

4 Movement Characteristic Analysis of theUnderwater Supercavitating Vehicle

When the system of the supercavitating vehicle is not con-trolled the movement state of the system is unstable [12 14]To investigate its movement characteristics alone accordingto the two-dimensional bifurcation diagram the rest of theparameters of the system should be kept constant Assumingthat 120590 is equal to 00315 the feedback control laws 120575

119888=

15119911 minus 30120579 minus 03119902 and 120575119890= minus2195119911 which corresponds to

the point (00315 minus2195) in the red stable movement area inFigure 2Thephase trajectory diagram is shown in Figure 7(a)when the control gain of the fin deflection angle 119896 is equal tominus2195

It can be observed that when 119896 = minus2195 the phasetrajectory of the system gradually stabilizes at an equilibriumpointThe Lyapunov exponent spectrum as a function of time

is presented in Figure 7(b) in which the values of the largestLyapunov exponent curve are negative within a finite time

The motion state of the supercavitating vehicle is pre-sented in Figure 8 inwhich the system state variables namelythe vertical position 119911 the transverse speed119908 the pitch angle120579 and the pitch rate 119902 are attracted to the equilibrium point(00047 00866 00012 0) with less settling time under thecontrol of the law of stable movement

Figures 8(e) and 8(f) demonstrate that the immersiondepth ℎ

1015840 of the fin and the corresponding planing force 119865119901

are both 0 This indicates that the fin is inside the cavity anddoes not have any contact with the cavity the vehicle is in astable navigation state

When 120590 is equal to 00315 the feedback control laws are120575119888= 15119911 minus 30120579 minus 03119902 and 120575

119890= 3119911 which corresponds to the

point (00315 3) in the green periodic oscillation region inFigure 2

Figure 9(a) tells us that the phase trajectory is a limitcycle with period 2 when the control gain of the fin deflectionangle 119896 is equal to 3 The Lyapunov exponent spectrumcorresponding to 119896 = 3 is shown in Figure 9(b) It is notdifficult to find that the system approximately has a zeroLyapunov exponent and three negative Lyapunov exponents

The motion state of the supercavitating vehicle is shownin Figure 10 in which the system state variables namelythe vertical position 119911 the transverse speed119908 the pitch angle120579 and the pitch rate velocity 119902 oscillate periodically at theequilibrium point (00416 13937 00190 0)

The immersion depth ℎ1015840 of the fin oscillates periodically

in the range of [0 006] (in m) which indicates that thevehicle continuously collides with the cavity wall

The fin is inside the cavity at times and does not come incontact with the cavity which results in zero planing force119865119901 The fin penetrates the cavity into the water at times

and produces the planing force oscillating periodically in therange of [0 48] (in N) The above actions repeat again andagain and such phenomenon is referred to as ldquofin attackphenomenonrdquo It also indicates that the vehicle is in anunstable periodic oscillating state

Shock and Vibration 9

0 05 10minus006

minus004

minus002

0

002

004

006

008

010

z(m

)

t (s)

(a) Vertical position

0 05 10t (s)

minus3

minus2

minus1

0

1

2

3

w(m

middotsminus1)

(b) Transverse speed

0 05 10minus0004

minus0002

0

0002

0004

t (s)

120579(r

ad)

(c) Pitch angle

0 05 10minus10

minus05

0

05

10

t (s)

q(r

ads

)

(d) Pitch rate

0 05 10minus002

0

002

004

006

008

t (s)

hp

(m)

(e) Immersion depth

0 05 10minus60

minus40

minus20

0

20

40

60

80

t (s)

Fp

(N)

(f) Planing force

Figure 12 The motion state of the system when 119896 = 55

When 120590 is equal to 00315 the feedback control laws of120575119888= 15119911 minus 30120579 minus 03119902 and 120575

119890= minus55119911 are selected which

corresponds to the point (00315 minus55) in the yellow chaoticarea in Figure 2

Figure 11(a) demonstrates that the phase trajectory is achaotic attractor when the control gain of the fin deflectionangle 119896 is equal to minus55 which indicates that the chaoshas occurred and the movement of the vehicle has the

characteristics of a nonlinear dynamic behavior The Lya-punov exponent spectrum corresponding to 119896 = minus55 isgiven in Figure 11(b) It is relatively easy to find that thesystem has a positive Lyapunov exponent and three negativeLyapunov exponents suggesting that the system is in a four-dimensional chaotic state

The motion state of the system is presented in Figure 12After the launch of the supercavitating vehicle the four

10 Shock and Vibration

system state variables namely 119911119908 120579 and 119902 are in the intensenonperiodic oscillating stateThus the vehicle in motion willexperience instability

It can be observed fromFigures 12(e) and 12(f) that withinthe time range of [1 2] (values in 119904) the fin of the vehicleis continuously into contact with the cavity wall under theaction of gravity and produces the planing forceThe planingforce increases gradually with the increase of immersiondepth and the vehicle will rebound inside the cavity whichresults in the loss of the planing force The above actionsrepeat subsequently and the planing force oscillates Theexistence of the planing force will cause vibration and impactto the vehicle resulting in the loss of stability of the vehicleTherefore precise control must be exerted on the vehicle toavoid the above situations [16 17]

5 Conclusions

Thenonlinear dynamic characteristicmovement states underdifferent control parameters of the supercavitating vehiclewere analyzed based on a four-dimensional dynamical modelof the vehicle The following conclusions have been mainlyderived

(1) The movement trajectories of the supercavitatingvehicle have complicated dynamical behavior thesystem will experience Hopf bifurcation periodicalwindows chaos and other nonlinear phenomenawhen the control parameters vary

(2) The movement state of the vehicle under differentcontrol parameters was numerically and preciselyanalyzed according to the phase trajectory diagramthe bifurcation diagram and the Lyapunov exponen-tial spectrum

(3) Most importantly the authors were the first tofind that the range of parameters of the vehicle inany movement state can be determined by a two-dimensional bifurcation diagram The importance ofselecting appropriate control parameters to realize thestable navigation of the supercavitating vehicle wasdemonstrated

It is believed that the work presented in this paper is ofgreat importance for further studies on the stable controlof the underwater supercavitating vehicles especially forengineering practice

Competing Interests

The authors declare that there is no conflict of interestsregarding the publication of this paper

Acknowledgments

This work is supported by the National Natural ScienceFoundation of China (nos 11472163 11402116 and 61473340)

References

[1] G Wang and M Ostoja-Starzewski ldquoLarge eddy simulationof a sheetcloud cavitation on a NACA0015 hydrofoilrdquo AppliedMathematical Modelling vol 31 no 3 pp 417ndash447 2007

[2] Q T Li Y S He and L P Xue ldquoA numerical simulationof pitching motion of the ventilated supercaviting vehicleapproximately its frontrdquo Chinese Journal of Hydrodynamics vol26 no 6 pp 589ndash685 2011

[3] A K Singhal M M Athavale H Li and Y Jiang ldquoMathemati-cal basis and validation of the full cavitation modelrdquo Journal ofFluids Engineering vol 124 no 3 pp 617ndash624 2002

[4] Y N Savchenko ldquoSupercavitation problems and perspectivesrdquoin Proceedings of the 4th International Symposium onCavitationPasadena Calif USA April 2001

[5] M A Hassouneh and E H Abed ldquoLyapunov and LMI analysisand feedback control of border collision bifurcationsrdquo Nonlin-ear Dynamics vol 50 no 3 pp 373ndash386 2007

[6] Y J Wei J H Wang J Z Zhang W Cao and W H HuangldquoNonlinear dynamics and control of underwater supercavitat-ing vehiclerdquo Journal of Vibration And Shock vol 28 no 6 pp179ndash204 2009

[7] S S Kulkarni and R Pratap ldquoStudies on the dynamics ofa supercavitating projectilerdquo Applied Mathematical Modellingvol 24 no 2 pp 113ndash129 2000

[8] J-Y Choi M Ruzzene and O A Bauchau ldquoDynamic anal-ysis of flexible supercavitating vehicles using modal-basedelementsrdquo Simulation vol 80 no 11 pp 619ndash633 2004

[9] B Feeny ldquoA nonsmooth Coulomb friction oscillatorrdquo Physica DNonlinear Phenomena vol 59 no 1ndash3 pp 25ndash38 1992

[10] A D Vasin and E V Paryshev ldquoImmersion of cylinder in a fluidthrough a cylindrical free surfacerdquo Fluid Dynamics vol 36 no2 pp 169ndash177 2001

[11] G Lin B Balachandran and E Abed ldquoSupercavitating bodydynamics bifurcations and controlrdquo in Proceedings of theAmerican Control Conference (ACC rsquo05) pp 691ndash696 PortlandOre USA June 2005

[12] J Dzielski and A Kurdila ldquoA benchmark control problemfor supercavitating vehicles and an initial investigation ofsolutionsrdquo Journal of Vibration amp Control vol 9 no 7 pp 791ndash804 2003

[13] G J Lin B Balakumar and H A Eysd ldquoBifurcation behaviorof a supercavitating vehiclerdquo in Proceedings of the ASMEInternational Mechanical Engineering Congress and Expositionpp 293ndash300 Chicago Ill USA November 2006

[14] G J Lin B Balachandran and E H Abed ldquoDynamics andcontrol of supercavitating vehiclesrdquo Journal of Dynamic SystemsMeasurement and Control vol 130 no 2 Article ID 021003 pp281ndash287 2008

[15] M A Hassouneh V Nguyen B Balachandran and E HAbed ldquoStability analysis and control of supercavitating vehicleswith advection delayrdquo Journal of Computational and NonlinearDynamics vol 8 no 2 Article ID 021003 2012

[16] G Lin B Balachandran and E H Abed ldquoNonlinear dynamicsand bifurcations of a supercavitating vehiclerdquo IEEE Journal ofOceanic Engineering vol 32 no 4 pp 753ndash761 2007

[17] J H Wang Y J Wei and K P Yu ldquoModeling and control ofunderwater supercavitating vehicle based on memory effect ofcavityrdquo Journal of Vibration And Shock vol 29 no 8 pp 160ndash163 2010

International Journal of

AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

RoboticsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Active and Passive Electronic Components

Control Scienceand Engineering

Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of

RotatingMachinery

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporation httpwwwhindawicom

Journal ofEngineeringVolume 2014

Submit your manuscripts athttpwwwhindawicom

VLSI Design

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Shock and Vibration

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Civil EngineeringAdvances in

Acoustics and VibrationAdvances in

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Electrical and Computer Engineering

Journal of

Advances inOptoElectronics

Hindawi Publishing Corporation httpwwwhindawicom

Volume 2014

The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014

SensorsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Chemical EngineeringInternational Journal of Antennas and

Propagation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Navigation and Observation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

DistributedSensor Networks

International Journal of

Page 3: Research Article Research on the Numerical Simulation of ...downloads.hindawi.com/journals/sv/2016/8268071.pdf · Research on the Numerical Simulation of the Nonlinear Dynamics of

Shock and Vibration 3

120590

w

40

30

20

10

000360032002800240020

Figure 3 Bifurcation diagram varying with 120590 when 119896 = 1

13

12

11

10

09

0032500323003210031900317

120590

w

Figure 4 Bifurcation diagram for 00315 lt 120590 lt 00325

According to the theory of rigid body dynamics thefollowing relationship can be derived relating the abovevariables [13]

(

120579

) = (

0 1 minus119881 0

0 11988622

0 11988624

0 0 0 1

0 11988642

0 11988644

)(

119911

119908

120579

119902

)

+(

0 0

11988721

11988722

0 0

11988741

11988742

)(

120575119890

120575119888

) +(

0

1198882

0

0

)

+(

0

1198892

0

1198894

)119865planing

(5)

where

11988622=

119862119881119879

119898

(

minus1 minus 119899

119871

) 119878 +

17

36

119899119871

11988624= 119881119879119878 (119862

minus119899

119898

+

7

9

) minus 119881119879(119862

minus119899

119898

+

17

36

)

17

36

1198712

11988642=

119862119881119879

119898

(

17

36

minus

11119899

36

)

11988644=

minus11119862119881119879119899119871

36119898

11988721=

1198621198812

119879119899

119898

(

minus119878

119871

+

17119871

36

)

11988722=

minus1198621198812

119879119878

119898119871

11988741=

minus111198621198812

119879119899

36119898

11988742=

171198621198812

119879

36119898

1198882= 119892

4 Shock and Vibration

30

20

0

minus10

minus20200minus20minus40minus60minus80

k

w

10

Figure 5 Bifurcation diagram varying with 119896 when 120590 = 00315

15

10

05

0

minus05

k

w

minus50minus55minus60minus65minus70minus75minus80

Figure 6 Bifurcation diagram for minus80 lt 119896 lt minus50

minus0001 0 0001006

007

008

009

010

Equilibrium point

q (rads )

w(m

middotsminus1)

(a)

0 5 10 15

minus100

minus80

minus60

minus40

minus20

0

20

Lyap

unov

expo

nent

spec

trum

t (s)

(b)

Figure 7 (a) Phase trajectory diagram in 119908 minus 120579 plane and (b) Lyapunov exponent spectrum

1198892=

119879

119898

(

minus17119871

36

+

119878

119871

)

1198894=

11119879

36119898

119878 =

11

60

1198772

+

1331198712

405

119879 =

1

71198789 minus 28911987121296

119862 = 051198621199090(1 + 120590) (

119877119899

119877

)

2

(6)

Shock and Vibration 5

1 2 3 4 5minus010

minus005

0

005

010

t (s)

z(m

)

(a) Vertical position

0 1 2 3 4 5minus15

minus10

minus05

0

05

10

15

t (s)

w(m

middotsminus1)

(b) Transverse speed

0 1 2 3 4 5minus0010

minus0005

0

0005

0010

t (s)

120579(r

ad)

(c) Pitch angle

0 1 2 3 4 5minus4

minus2

0

2

4

6

8

t (s)

q(r

ads

)

(d) Pitch rate

1 2 3 4 5minus1

0

1

2

3

t (s)

ℎp

(m)

(e) Immersion depth

0 1 2 3 4 5minus100

0

100

200

300

t (s)

Fp

(N)

(f) Planing force

Figure 8 The motion state of the system when 119896 = minus2195

The feedback controller is designed for the supercavi-tating vehicle with control inputs being the deflection 120575

119890of

the fin and the deflection 120575119888of the cavitator 120575

119890= 119896119911 and

120575119888= 15119911 minus 30120579 minus 03119902 [12 14] were adopted in this paper

where 119896 is the feedback gain of the control variable 119911

3 Dynamic Behavior of the UnderwaterSupercavitating Vehicle

According to [15] the system parameters of the supercavi-tation vehicle are as follows 119892 = 981ms2 119898 = 2 119877

119899=

00191m 119877 = 00508m 119871 = 18m 119881 isin [677 923]ms120590 isin [00198 00368] 119899 = 05 and 119862

1199090= 082 To realize

the stablemovement of the supercavitating vehicle the effectsof cavitation number 120590 and the fin control law 119896 on thestable movement state of the vehicle were analyzed basedon the four-dimensional dynamical system Here the restof the parameters remain constant and the two-dimensionalbifurcation diagram (120590 119896) is presented in Figure 2 where theparameters are the cavitation number 120590 and the control gain119896 of the fin deflection angle 120575

119890

6 Shock and Vibration

minus06 minus04 minus02 0 02 04

08

10

12

14

16

18

20

q (rads)

w(m

middotsminus1)

(a)

0 5 10 15minus100

minus80

minus60

minus40

minus20

0

20

t (s)

Lyap

unov

expo

nent

spec

trum

(b)

Figure 9 (a) Phase trajectory diagram in 119908 minus 120579 plane when 119896 = 5 and (b) Lyapunov exponent spectrum

In the phase space of (120590 119896) the dynamic behavior of thesystem is presented in Figure 2 The horizontal section isthe bifurcation diagram of the system for different cavitationnumbers 120590 and the vertical section is the bifurcation diagramof the system when the control gain 119896 varies The parameterranges for different system states can be determined bythe two-dimensional bifurcation diagram The region in redrepresents the stable movement state of the vehicle whichmeans the vehicle will navigate steadily when 120590 and 119896 areequal to the values corresponding to any point (120590 119896) withinthis region The green area shows the periodic oscillatorynature of the vehiclemovement whichmeans that the vehiclewill oscillate periodically and hence will become unstableMoreover the vehicle navigating with the states of the yellowarea will suffer from vibration and impact and then collapseWhen the vehicle alters from the steady state to the periodicstate the Hopf bifurcation occurs The boundary betweenthe red and green regions that is the critical switching lineof the stable state and the periodic state is also called theHopf bifurcation line Similarly the boundary between thegreen and yellow areas indicates the switch between theperiodic and chaotic states where the physical phenomenasuch as tangent bifurcation and period doubling bifurcationcan occur

It can be observed from (1) that in the four-dimensionaldynamical system of the underwater vehicle only the planingforce 119865planing is the nonlinear force associated with thesystem state variable and the vertical velocity 119908 This isprimarily attributed to the fact that the complicated nonlinearforce acts on the fin of the vehicle that the vehicle suffersfrom vibration impact and even collapse due to unstablemovement Therefore the nonlinear dynamic characteristicscan be further understood by analyzing the system from thepoint of view of nonlinearity thus preparing for the stablecontrol of the supercavitating vehicle

31 Nonlinear Dynamical Characteristic of the Vehicle underDifferent Cavitation Values According to the dynamicalbehavior distribution diagram presented in Figure 2 thebifurcation diagram between the system state variable 119908 and

the cavitation number 120590 is provided in Figure 3 (119896 = 1 ie120575119890= 119911 and 120575

119888= 15119911 minus 30120579 minus 03119902) Some simple explanations

are given as followsWhen the cavitation number 120590 of the system falls in

the range of [00198 002687] the trajectory of the vehicleconverges to a stable equilibrium point

When 120590 is equal to 002687 the Hopf bifurcation occursas a result of which the stable equilibrium point becomes thestable periodic trajectory and the vehicle oscillates periodi-cally

After a series of period doubling bifurcation the systemfalls into a chaotic state and the vehicle suffers from hugeimpact When the cavitation number 120590 is approximately003083 the system has three stable periodic trajectories

The bifurcation diagram shown in Figure 3 when 120590 isin

[00315 00325] is magnified in Figure 4 which depicts thediversified bifurcation behaviors of the system

After a series of period doubling bifurcations the systemshifts from three periodic trajectories into three huge chaoticattractors respectively when 120590 is approximately 003197 thisphenomenon is referred to as chaos crisis [12]

When 120590 is equal to 0032 the chaotic attractors suddenlychange into periodic trajectories and form one period-2window and two period-3 windows This phenomenon isreferred to as tangent bifurcation The tangent bifurcationwill cause intermittent chaos and the periodic trajectoriessuddenly develop chaotic bands in the periodic window afterexperiencing a period doubling bifurcation

When 120590 is equal to 003204 the secondary chaotic bandcoincides with the unstable periodic trajectories which thencauses the chaotic crisis The secondary narrow chaotic bandwill then transform into a broad chaotic band

With the increase of 120590 the obvious period-2 windowoccurs for 120590 isin [003207 003225] and when 120590 is approxi-mately 0032228 the broad chaotic band suddenly changesinto two periodic trajectories

32 Nonlinear Dynamic Characteristic of the Vehicle underDifferent Fin Deflection Angles When the cavitation number

Shock and Vibration 7

10 15 200044

0045

0046

0047

0048

z(m

)

t (s)

(a) Vertical position

10 15 2010

15

20

t (s)

w(m

middotsminus1)

(b) Transverse speed

10 15 200020

0021

0022

t (s)

120579(r

ad)

(c) Pitch angle

10 15 20minus03

minus02

minus01

0

01

02

03

q(r

ads

)

t (s)

(d) Pitch rate

minus002

0

002

004

006

008

15 2010t (s)

hp

(m)

(e) Immersion depth

10 15 20minus20

0

20

40

60

80

t (s)

Fp

(N)

(f) Planing force

Figure 10 The motion state of the system when 119896 = 5

is set as 120590 = 00315 the cavitator deflection angle is 120575119888=

15119911 minus 30120579 minus 03119902 and the fin deflection angle is 120575119890= 119896119911 The

bifurcation diagram of the supercavitating vehicle betweenthe system state variable 119908 and the control gain 119896 of the findeflection angle is presented in Figure 5 According to thedynamical behavior distribution presented in Figure 2 the

effective range of the control gain 119896 for the supercavitatingvehicle is presented in Figure 5 when 120590 = 00315

Figure 5 shows that when 119896 falls within the wider range[minus7614 minus5238] the system is in a chaotic state and finallythe period-2 trajectory occurs through period doublingbifurcation

8 Shock and Vibration

minus04 minus02 0 02 04 06minus20

minus10

0

10

20

q (rads)

w(m

middotsminus1)

(a)

0 5 10 15

minus100

minus80

minus60

minus40

minus20

0

20

Lyap

unov

expo

nent

spec

trum

t (s)

(b)

Figure 11 (a) Phase trajectory diagram in 119908 minus 120579 plane when 119896 = minus55 and (b) Lyapunov exponent spectrum

When 119896 is approximately 856 the periodic state endsand the system is in the divergent state The correspondingmagnified part in Figure 5 for minus80 lt 119896 lt minus50 is givenin Figure 6 which indicates that the system changes from aperiodic state into a chaotic state when 119896 = minus779

When 119896 is approximately minus7754 the tangent bifurcationoccurs leading to an intermittent chaos and forming theperiod-3 windows and then three stable periodic trajectories

The period doubling bifurcations occur for the threetrajectories when 119896 is approximately minus77 minus7616 or minus755When 119896 is approximately minus746 the secondary chaotic bandand the unstable periodic trajectories converge into chaos

When 119896 is approximately minus7358 the tangent bifurcationoccurs The system suddenly switches from chaotic state toperiodic state and the period-three windows forms With theoccurrence of a series of period doubling bifurcation thesystem enters into the chaotic state again when 119896 is betweenminus7118 andminus5264 uponwhich the system switches back fromthe chaotic state to the periodic state

4 Movement Characteristic Analysis of theUnderwater Supercavitating Vehicle

When the system of the supercavitating vehicle is not con-trolled the movement state of the system is unstable [12 14]To investigate its movement characteristics alone accordingto the two-dimensional bifurcation diagram the rest of theparameters of the system should be kept constant Assumingthat 120590 is equal to 00315 the feedback control laws 120575

119888=

15119911 minus 30120579 minus 03119902 and 120575119890= minus2195119911 which corresponds to

the point (00315 minus2195) in the red stable movement area inFigure 2Thephase trajectory diagram is shown in Figure 7(a)when the control gain of the fin deflection angle 119896 is equal tominus2195

It can be observed that when 119896 = minus2195 the phasetrajectory of the system gradually stabilizes at an equilibriumpointThe Lyapunov exponent spectrum as a function of time

is presented in Figure 7(b) in which the values of the largestLyapunov exponent curve are negative within a finite time

The motion state of the supercavitating vehicle is pre-sented in Figure 8 inwhich the system state variables namelythe vertical position 119911 the transverse speed119908 the pitch angle120579 and the pitch rate 119902 are attracted to the equilibrium point(00047 00866 00012 0) with less settling time under thecontrol of the law of stable movement

Figures 8(e) and 8(f) demonstrate that the immersiondepth ℎ

1015840 of the fin and the corresponding planing force 119865119901

are both 0 This indicates that the fin is inside the cavity anddoes not have any contact with the cavity the vehicle is in astable navigation state

When 120590 is equal to 00315 the feedback control laws are120575119888= 15119911 minus 30120579 minus 03119902 and 120575

119890= 3119911 which corresponds to the

point (00315 3) in the green periodic oscillation region inFigure 2

Figure 9(a) tells us that the phase trajectory is a limitcycle with period 2 when the control gain of the fin deflectionangle 119896 is equal to 3 The Lyapunov exponent spectrumcorresponding to 119896 = 3 is shown in Figure 9(b) It is notdifficult to find that the system approximately has a zeroLyapunov exponent and three negative Lyapunov exponents

The motion state of the supercavitating vehicle is shownin Figure 10 in which the system state variables namelythe vertical position 119911 the transverse speed119908 the pitch angle120579 and the pitch rate velocity 119902 oscillate periodically at theequilibrium point (00416 13937 00190 0)

The immersion depth ℎ1015840 of the fin oscillates periodically

in the range of [0 006] (in m) which indicates that thevehicle continuously collides with the cavity wall

The fin is inside the cavity at times and does not come incontact with the cavity which results in zero planing force119865119901 The fin penetrates the cavity into the water at times

and produces the planing force oscillating periodically in therange of [0 48] (in N) The above actions repeat again andagain and such phenomenon is referred to as ldquofin attackphenomenonrdquo It also indicates that the vehicle is in anunstable periodic oscillating state

Shock and Vibration 9

0 05 10minus006

minus004

minus002

0

002

004

006

008

010

z(m

)

t (s)

(a) Vertical position

0 05 10t (s)

minus3

minus2

minus1

0

1

2

3

w(m

middotsminus1)

(b) Transverse speed

0 05 10minus0004

minus0002

0

0002

0004

t (s)

120579(r

ad)

(c) Pitch angle

0 05 10minus10

minus05

0

05

10

t (s)

q(r

ads

)

(d) Pitch rate

0 05 10minus002

0

002

004

006

008

t (s)

hp

(m)

(e) Immersion depth

0 05 10minus60

minus40

minus20

0

20

40

60

80

t (s)

Fp

(N)

(f) Planing force

Figure 12 The motion state of the system when 119896 = 55

When 120590 is equal to 00315 the feedback control laws of120575119888= 15119911 minus 30120579 minus 03119902 and 120575

119890= minus55119911 are selected which

corresponds to the point (00315 minus55) in the yellow chaoticarea in Figure 2

Figure 11(a) demonstrates that the phase trajectory is achaotic attractor when the control gain of the fin deflectionangle 119896 is equal to minus55 which indicates that the chaoshas occurred and the movement of the vehicle has the

characteristics of a nonlinear dynamic behavior The Lya-punov exponent spectrum corresponding to 119896 = minus55 isgiven in Figure 11(b) It is relatively easy to find that thesystem has a positive Lyapunov exponent and three negativeLyapunov exponents suggesting that the system is in a four-dimensional chaotic state

The motion state of the system is presented in Figure 12After the launch of the supercavitating vehicle the four

10 Shock and Vibration

system state variables namely 119911119908 120579 and 119902 are in the intensenonperiodic oscillating stateThus the vehicle in motion willexperience instability

It can be observed fromFigures 12(e) and 12(f) that withinthe time range of [1 2] (values in 119904) the fin of the vehicleis continuously into contact with the cavity wall under theaction of gravity and produces the planing forceThe planingforce increases gradually with the increase of immersiondepth and the vehicle will rebound inside the cavity whichresults in the loss of the planing force The above actionsrepeat subsequently and the planing force oscillates Theexistence of the planing force will cause vibration and impactto the vehicle resulting in the loss of stability of the vehicleTherefore precise control must be exerted on the vehicle toavoid the above situations [16 17]

5 Conclusions

Thenonlinear dynamic characteristicmovement states underdifferent control parameters of the supercavitating vehiclewere analyzed based on a four-dimensional dynamical modelof the vehicle The following conclusions have been mainlyderived

(1) The movement trajectories of the supercavitatingvehicle have complicated dynamical behavior thesystem will experience Hopf bifurcation periodicalwindows chaos and other nonlinear phenomenawhen the control parameters vary

(2) The movement state of the vehicle under differentcontrol parameters was numerically and preciselyanalyzed according to the phase trajectory diagramthe bifurcation diagram and the Lyapunov exponen-tial spectrum

(3) Most importantly the authors were the first tofind that the range of parameters of the vehicle inany movement state can be determined by a two-dimensional bifurcation diagram The importance ofselecting appropriate control parameters to realize thestable navigation of the supercavitating vehicle wasdemonstrated

It is believed that the work presented in this paper is ofgreat importance for further studies on the stable controlof the underwater supercavitating vehicles especially forengineering practice

Competing Interests

The authors declare that there is no conflict of interestsregarding the publication of this paper

Acknowledgments

This work is supported by the National Natural ScienceFoundation of China (nos 11472163 11402116 and 61473340)

References

[1] G Wang and M Ostoja-Starzewski ldquoLarge eddy simulationof a sheetcloud cavitation on a NACA0015 hydrofoilrdquo AppliedMathematical Modelling vol 31 no 3 pp 417ndash447 2007

[2] Q T Li Y S He and L P Xue ldquoA numerical simulationof pitching motion of the ventilated supercaviting vehicleapproximately its frontrdquo Chinese Journal of Hydrodynamics vol26 no 6 pp 589ndash685 2011

[3] A K Singhal M M Athavale H Li and Y Jiang ldquoMathemati-cal basis and validation of the full cavitation modelrdquo Journal ofFluids Engineering vol 124 no 3 pp 617ndash624 2002

[4] Y N Savchenko ldquoSupercavitation problems and perspectivesrdquoin Proceedings of the 4th International Symposium onCavitationPasadena Calif USA April 2001

[5] M A Hassouneh and E H Abed ldquoLyapunov and LMI analysisand feedback control of border collision bifurcationsrdquo Nonlin-ear Dynamics vol 50 no 3 pp 373ndash386 2007

[6] Y J Wei J H Wang J Z Zhang W Cao and W H HuangldquoNonlinear dynamics and control of underwater supercavitat-ing vehiclerdquo Journal of Vibration And Shock vol 28 no 6 pp179ndash204 2009

[7] S S Kulkarni and R Pratap ldquoStudies on the dynamics ofa supercavitating projectilerdquo Applied Mathematical Modellingvol 24 no 2 pp 113ndash129 2000

[8] J-Y Choi M Ruzzene and O A Bauchau ldquoDynamic anal-ysis of flexible supercavitating vehicles using modal-basedelementsrdquo Simulation vol 80 no 11 pp 619ndash633 2004

[9] B Feeny ldquoA nonsmooth Coulomb friction oscillatorrdquo Physica DNonlinear Phenomena vol 59 no 1ndash3 pp 25ndash38 1992

[10] A D Vasin and E V Paryshev ldquoImmersion of cylinder in a fluidthrough a cylindrical free surfacerdquo Fluid Dynamics vol 36 no2 pp 169ndash177 2001

[11] G Lin B Balachandran and E Abed ldquoSupercavitating bodydynamics bifurcations and controlrdquo in Proceedings of theAmerican Control Conference (ACC rsquo05) pp 691ndash696 PortlandOre USA June 2005

[12] J Dzielski and A Kurdila ldquoA benchmark control problemfor supercavitating vehicles and an initial investigation ofsolutionsrdquo Journal of Vibration amp Control vol 9 no 7 pp 791ndash804 2003

[13] G J Lin B Balakumar and H A Eysd ldquoBifurcation behaviorof a supercavitating vehiclerdquo in Proceedings of the ASMEInternational Mechanical Engineering Congress and Expositionpp 293ndash300 Chicago Ill USA November 2006

[14] G J Lin B Balachandran and E H Abed ldquoDynamics andcontrol of supercavitating vehiclesrdquo Journal of Dynamic SystemsMeasurement and Control vol 130 no 2 Article ID 021003 pp281ndash287 2008

[15] M A Hassouneh V Nguyen B Balachandran and E HAbed ldquoStability analysis and control of supercavitating vehicleswith advection delayrdquo Journal of Computational and NonlinearDynamics vol 8 no 2 Article ID 021003 2012

[16] G Lin B Balachandran and E H Abed ldquoNonlinear dynamicsand bifurcations of a supercavitating vehiclerdquo IEEE Journal ofOceanic Engineering vol 32 no 4 pp 753ndash761 2007

[17] J H Wang Y J Wei and K P Yu ldquoModeling and control ofunderwater supercavitating vehicle based on memory effect ofcavityrdquo Journal of Vibration And Shock vol 29 no 8 pp 160ndash163 2010

International Journal of

AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

RoboticsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Active and Passive Electronic Components

Control Scienceand Engineering

Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of

RotatingMachinery

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporation httpwwwhindawicom

Journal ofEngineeringVolume 2014

Submit your manuscripts athttpwwwhindawicom

VLSI Design

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Shock and Vibration

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Civil EngineeringAdvances in

Acoustics and VibrationAdvances in

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Electrical and Computer Engineering

Journal of

Advances inOptoElectronics

Hindawi Publishing Corporation httpwwwhindawicom

Volume 2014

The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014

SensorsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Chemical EngineeringInternational Journal of Antennas and

Propagation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Navigation and Observation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

DistributedSensor Networks

International Journal of

Page 4: Research Article Research on the Numerical Simulation of ...downloads.hindawi.com/journals/sv/2016/8268071.pdf · Research on the Numerical Simulation of the Nonlinear Dynamics of

4 Shock and Vibration

30

20

0

minus10

minus20200minus20minus40minus60minus80

k

w

10

Figure 5 Bifurcation diagram varying with 119896 when 120590 = 00315

15

10

05

0

minus05

k

w

minus50minus55minus60minus65minus70minus75minus80

Figure 6 Bifurcation diagram for minus80 lt 119896 lt minus50

minus0001 0 0001006

007

008

009

010

Equilibrium point

q (rads )

w(m

middotsminus1)

(a)

0 5 10 15

minus100

minus80

minus60

minus40

minus20

0

20

Lyap

unov

expo

nent

spec

trum

t (s)

(b)

Figure 7 (a) Phase trajectory diagram in 119908 minus 120579 plane and (b) Lyapunov exponent spectrum

1198892=

119879

119898

(

minus17119871

36

+

119878

119871

)

1198894=

11119879

36119898

119878 =

11

60

1198772

+

1331198712

405

119879 =

1

71198789 minus 28911987121296

119862 = 051198621199090(1 + 120590) (

119877119899

119877

)

2

(6)

Shock and Vibration 5

1 2 3 4 5minus010

minus005

0

005

010

t (s)

z(m

)

(a) Vertical position

0 1 2 3 4 5minus15

minus10

minus05

0

05

10

15

t (s)

w(m

middotsminus1)

(b) Transverse speed

0 1 2 3 4 5minus0010

minus0005

0

0005

0010

t (s)

120579(r

ad)

(c) Pitch angle

0 1 2 3 4 5minus4

minus2

0

2

4

6

8

t (s)

q(r

ads

)

(d) Pitch rate

1 2 3 4 5minus1

0

1

2

3

t (s)

ℎp

(m)

(e) Immersion depth

0 1 2 3 4 5minus100

0

100

200

300

t (s)

Fp

(N)

(f) Planing force

Figure 8 The motion state of the system when 119896 = minus2195

The feedback controller is designed for the supercavi-tating vehicle with control inputs being the deflection 120575

119890of

the fin and the deflection 120575119888of the cavitator 120575

119890= 119896119911 and

120575119888= 15119911 minus 30120579 minus 03119902 [12 14] were adopted in this paper

where 119896 is the feedback gain of the control variable 119911

3 Dynamic Behavior of the UnderwaterSupercavitating Vehicle

According to [15] the system parameters of the supercavi-tation vehicle are as follows 119892 = 981ms2 119898 = 2 119877

119899=

00191m 119877 = 00508m 119871 = 18m 119881 isin [677 923]ms120590 isin [00198 00368] 119899 = 05 and 119862

1199090= 082 To realize

the stablemovement of the supercavitating vehicle the effectsof cavitation number 120590 and the fin control law 119896 on thestable movement state of the vehicle were analyzed basedon the four-dimensional dynamical system Here the restof the parameters remain constant and the two-dimensionalbifurcation diagram (120590 119896) is presented in Figure 2 where theparameters are the cavitation number 120590 and the control gain119896 of the fin deflection angle 120575

119890

6 Shock and Vibration

minus06 minus04 minus02 0 02 04

08

10

12

14

16

18

20

q (rads)

w(m

middotsminus1)

(a)

0 5 10 15minus100

minus80

minus60

minus40

minus20

0

20

t (s)

Lyap

unov

expo

nent

spec

trum

(b)

Figure 9 (a) Phase trajectory diagram in 119908 minus 120579 plane when 119896 = 5 and (b) Lyapunov exponent spectrum

In the phase space of (120590 119896) the dynamic behavior of thesystem is presented in Figure 2 The horizontal section isthe bifurcation diagram of the system for different cavitationnumbers 120590 and the vertical section is the bifurcation diagramof the system when the control gain 119896 varies The parameterranges for different system states can be determined bythe two-dimensional bifurcation diagram The region in redrepresents the stable movement state of the vehicle whichmeans the vehicle will navigate steadily when 120590 and 119896 areequal to the values corresponding to any point (120590 119896) withinthis region The green area shows the periodic oscillatorynature of the vehiclemovement whichmeans that the vehiclewill oscillate periodically and hence will become unstableMoreover the vehicle navigating with the states of the yellowarea will suffer from vibration and impact and then collapseWhen the vehicle alters from the steady state to the periodicstate the Hopf bifurcation occurs The boundary betweenthe red and green regions that is the critical switching lineof the stable state and the periodic state is also called theHopf bifurcation line Similarly the boundary between thegreen and yellow areas indicates the switch between theperiodic and chaotic states where the physical phenomenasuch as tangent bifurcation and period doubling bifurcationcan occur

It can be observed from (1) that in the four-dimensionaldynamical system of the underwater vehicle only the planingforce 119865planing is the nonlinear force associated with thesystem state variable and the vertical velocity 119908 This isprimarily attributed to the fact that the complicated nonlinearforce acts on the fin of the vehicle that the vehicle suffersfrom vibration impact and even collapse due to unstablemovement Therefore the nonlinear dynamic characteristicscan be further understood by analyzing the system from thepoint of view of nonlinearity thus preparing for the stablecontrol of the supercavitating vehicle

31 Nonlinear Dynamical Characteristic of the Vehicle underDifferent Cavitation Values According to the dynamicalbehavior distribution diagram presented in Figure 2 thebifurcation diagram between the system state variable 119908 and

the cavitation number 120590 is provided in Figure 3 (119896 = 1 ie120575119890= 119911 and 120575

119888= 15119911 minus 30120579 minus 03119902) Some simple explanations

are given as followsWhen the cavitation number 120590 of the system falls in

the range of [00198 002687] the trajectory of the vehicleconverges to a stable equilibrium point

When 120590 is equal to 002687 the Hopf bifurcation occursas a result of which the stable equilibrium point becomes thestable periodic trajectory and the vehicle oscillates periodi-cally

After a series of period doubling bifurcation the systemfalls into a chaotic state and the vehicle suffers from hugeimpact When the cavitation number 120590 is approximately003083 the system has three stable periodic trajectories

The bifurcation diagram shown in Figure 3 when 120590 isin

[00315 00325] is magnified in Figure 4 which depicts thediversified bifurcation behaviors of the system

After a series of period doubling bifurcations the systemshifts from three periodic trajectories into three huge chaoticattractors respectively when 120590 is approximately 003197 thisphenomenon is referred to as chaos crisis [12]

When 120590 is equal to 0032 the chaotic attractors suddenlychange into periodic trajectories and form one period-2window and two period-3 windows This phenomenon isreferred to as tangent bifurcation The tangent bifurcationwill cause intermittent chaos and the periodic trajectoriessuddenly develop chaotic bands in the periodic window afterexperiencing a period doubling bifurcation

When 120590 is equal to 003204 the secondary chaotic bandcoincides with the unstable periodic trajectories which thencauses the chaotic crisis The secondary narrow chaotic bandwill then transform into a broad chaotic band

With the increase of 120590 the obvious period-2 windowoccurs for 120590 isin [003207 003225] and when 120590 is approxi-mately 0032228 the broad chaotic band suddenly changesinto two periodic trajectories

32 Nonlinear Dynamic Characteristic of the Vehicle underDifferent Fin Deflection Angles When the cavitation number

Shock and Vibration 7

10 15 200044

0045

0046

0047

0048

z(m

)

t (s)

(a) Vertical position

10 15 2010

15

20

t (s)

w(m

middotsminus1)

(b) Transverse speed

10 15 200020

0021

0022

t (s)

120579(r

ad)

(c) Pitch angle

10 15 20minus03

minus02

minus01

0

01

02

03

q(r

ads

)

t (s)

(d) Pitch rate

minus002

0

002

004

006

008

15 2010t (s)

hp

(m)

(e) Immersion depth

10 15 20minus20

0

20

40

60

80

t (s)

Fp

(N)

(f) Planing force

Figure 10 The motion state of the system when 119896 = 5

is set as 120590 = 00315 the cavitator deflection angle is 120575119888=

15119911 minus 30120579 minus 03119902 and the fin deflection angle is 120575119890= 119896119911 The

bifurcation diagram of the supercavitating vehicle betweenthe system state variable 119908 and the control gain 119896 of the findeflection angle is presented in Figure 5 According to thedynamical behavior distribution presented in Figure 2 the

effective range of the control gain 119896 for the supercavitatingvehicle is presented in Figure 5 when 120590 = 00315

Figure 5 shows that when 119896 falls within the wider range[minus7614 minus5238] the system is in a chaotic state and finallythe period-2 trajectory occurs through period doublingbifurcation

8 Shock and Vibration

minus04 minus02 0 02 04 06minus20

minus10

0

10

20

q (rads)

w(m

middotsminus1)

(a)

0 5 10 15

minus100

minus80

minus60

minus40

minus20

0

20

Lyap

unov

expo

nent

spec

trum

t (s)

(b)

Figure 11 (a) Phase trajectory diagram in 119908 minus 120579 plane when 119896 = minus55 and (b) Lyapunov exponent spectrum

When 119896 is approximately 856 the periodic state endsand the system is in the divergent state The correspondingmagnified part in Figure 5 for minus80 lt 119896 lt minus50 is givenin Figure 6 which indicates that the system changes from aperiodic state into a chaotic state when 119896 = minus779

When 119896 is approximately minus7754 the tangent bifurcationoccurs leading to an intermittent chaos and forming theperiod-3 windows and then three stable periodic trajectories

The period doubling bifurcations occur for the threetrajectories when 119896 is approximately minus77 minus7616 or minus755When 119896 is approximately minus746 the secondary chaotic bandand the unstable periodic trajectories converge into chaos

When 119896 is approximately minus7358 the tangent bifurcationoccurs The system suddenly switches from chaotic state toperiodic state and the period-three windows forms With theoccurrence of a series of period doubling bifurcation thesystem enters into the chaotic state again when 119896 is betweenminus7118 andminus5264 uponwhich the system switches back fromthe chaotic state to the periodic state

4 Movement Characteristic Analysis of theUnderwater Supercavitating Vehicle

When the system of the supercavitating vehicle is not con-trolled the movement state of the system is unstable [12 14]To investigate its movement characteristics alone accordingto the two-dimensional bifurcation diagram the rest of theparameters of the system should be kept constant Assumingthat 120590 is equal to 00315 the feedback control laws 120575

119888=

15119911 minus 30120579 minus 03119902 and 120575119890= minus2195119911 which corresponds to

the point (00315 minus2195) in the red stable movement area inFigure 2Thephase trajectory diagram is shown in Figure 7(a)when the control gain of the fin deflection angle 119896 is equal tominus2195

It can be observed that when 119896 = minus2195 the phasetrajectory of the system gradually stabilizes at an equilibriumpointThe Lyapunov exponent spectrum as a function of time

is presented in Figure 7(b) in which the values of the largestLyapunov exponent curve are negative within a finite time

The motion state of the supercavitating vehicle is pre-sented in Figure 8 inwhich the system state variables namelythe vertical position 119911 the transverse speed119908 the pitch angle120579 and the pitch rate 119902 are attracted to the equilibrium point(00047 00866 00012 0) with less settling time under thecontrol of the law of stable movement

Figures 8(e) and 8(f) demonstrate that the immersiondepth ℎ

1015840 of the fin and the corresponding planing force 119865119901

are both 0 This indicates that the fin is inside the cavity anddoes not have any contact with the cavity the vehicle is in astable navigation state

When 120590 is equal to 00315 the feedback control laws are120575119888= 15119911 minus 30120579 minus 03119902 and 120575

119890= 3119911 which corresponds to the

point (00315 3) in the green periodic oscillation region inFigure 2

Figure 9(a) tells us that the phase trajectory is a limitcycle with period 2 when the control gain of the fin deflectionangle 119896 is equal to 3 The Lyapunov exponent spectrumcorresponding to 119896 = 3 is shown in Figure 9(b) It is notdifficult to find that the system approximately has a zeroLyapunov exponent and three negative Lyapunov exponents

The motion state of the supercavitating vehicle is shownin Figure 10 in which the system state variables namelythe vertical position 119911 the transverse speed119908 the pitch angle120579 and the pitch rate velocity 119902 oscillate periodically at theequilibrium point (00416 13937 00190 0)

The immersion depth ℎ1015840 of the fin oscillates periodically

in the range of [0 006] (in m) which indicates that thevehicle continuously collides with the cavity wall

The fin is inside the cavity at times and does not come incontact with the cavity which results in zero planing force119865119901 The fin penetrates the cavity into the water at times

and produces the planing force oscillating periodically in therange of [0 48] (in N) The above actions repeat again andagain and such phenomenon is referred to as ldquofin attackphenomenonrdquo It also indicates that the vehicle is in anunstable periodic oscillating state

Shock and Vibration 9

0 05 10minus006

minus004

minus002

0

002

004

006

008

010

z(m

)

t (s)

(a) Vertical position

0 05 10t (s)

minus3

minus2

minus1

0

1

2

3

w(m

middotsminus1)

(b) Transverse speed

0 05 10minus0004

minus0002

0

0002

0004

t (s)

120579(r

ad)

(c) Pitch angle

0 05 10minus10

minus05

0

05

10

t (s)

q(r

ads

)

(d) Pitch rate

0 05 10minus002

0

002

004

006

008

t (s)

hp

(m)

(e) Immersion depth

0 05 10minus60

minus40

minus20

0

20

40

60

80

t (s)

Fp

(N)

(f) Planing force

Figure 12 The motion state of the system when 119896 = 55

When 120590 is equal to 00315 the feedback control laws of120575119888= 15119911 minus 30120579 minus 03119902 and 120575

119890= minus55119911 are selected which

corresponds to the point (00315 minus55) in the yellow chaoticarea in Figure 2

Figure 11(a) demonstrates that the phase trajectory is achaotic attractor when the control gain of the fin deflectionangle 119896 is equal to minus55 which indicates that the chaoshas occurred and the movement of the vehicle has the

characteristics of a nonlinear dynamic behavior The Lya-punov exponent spectrum corresponding to 119896 = minus55 isgiven in Figure 11(b) It is relatively easy to find that thesystem has a positive Lyapunov exponent and three negativeLyapunov exponents suggesting that the system is in a four-dimensional chaotic state

The motion state of the system is presented in Figure 12After the launch of the supercavitating vehicle the four

10 Shock and Vibration

system state variables namely 119911119908 120579 and 119902 are in the intensenonperiodic oscillating stateThus the vehicle in motion willexperience instability

It can be observed fromFigures 12(e) and 12(f) that withinthe time range of [1 2] (values in 119904) the fin of the vehicleis continuously into contact with the cavity wall under theaction of gravity and produces the planing forceThe planingforce increases gradually with the increase of immersiondepth and the vehicle will rebound inside the cavity whichresults in the loss of the planing force The above actionsrepeat subsequently and the planing force oscillates Theexistence of the planing force will cause vibration and impactto the vehicle resulting in the loss of stability of the vehicleTherefore precise control must be exerted on the vehicle toavoid the above situations [16 17]

5 Conclusions

Thenonlinear dynamic characteristicmovement states underdifferent control parameters of the supercavitating vehiclewere analyzed based on a four-dimensional dynamical modelof the vehicle The following conclusions have been mainlyderived

(1) The movement trajectories of the supercavitatingvehicle have complicated dynamical behavior thesystem will experience Hopf bifurcation periodicalwindows chaos and other nonlinear phenomenawhen the control parameters vary

(2) The movement state of the vehicle under differentcontrol parameters was numerically and preciselyanalyzed according to the phase trajectory diagramthe bifurcation diagram and the Lyapunov exponen-tial spectrum

(3) Most importantly the authors were the first tofind that the range of parameters of the vehicle inany movement state can be determined by a two-dimensional bifurcation diagram The importance ofselecting appropriate control parameters to realize thestable navigation of the supercavitating vehicle wasdemonstrated

It is believed that the work presented in this paper is ofgreat importance for further studies on the stable controlof the underwater supercavitating vehicles especially forengineering practice

Competing Interests

The authors declare that there is no conflict of interestsregarding the publication of this paper

Acknowledgments

This work is supported by the National Natural ScienceFoundation of China (nos 11472163 11402116 and 61473340)

References

[1] G Wang and M Ostoja-Starzewski ldquoLarge eddy simulationof a sheetcloud cavitation on a NACA0015 hydrofoilrdquo AppliedMathematical Modelling vol 31 no 3 pp 417ndash447 2007

[2] Q T Li Y S He and L P Xue ldquoA numerical simulationof pitching motion of the ventilated supercaviting vehicleapproximately its frontrdquo Chinese Journal of Hydrodynamics vol26 no 6 pp 589ndash685 2011

[3] A K Singhal M M Athavale H Li and Y Jiang ldquoMathemati-cal basis and validation of the full cavitation modelrdquo Journal ofFluids Engineering vol 124 no 3 pp 617ndash624 2002

[4] Y N Savchenko ldquoSupercavitation problems and perspectivesrdquoin Proceedings of the 4th International Symposium onCavitationPasadena Calif USA April 2001

[5] M A Hassouneh and E H Abed ldquoLyapunov and LMI analysisand feedback control of border collision bifurcationsrdquo Nonlin-ear Dynamics vol 50 no 3 pp 373ndash386 2007

[6] Y J Wei J H Wang J Z Zhang W Cao and W H HuangldquoNonlinear dynamics and control of underwater supercavitat-ing vehiclerdquo Journal of Vibration And Shock vol 28 no 6 pp179ndash204 2009

[7] S S Kulkarni and R Pratap ldquoStudies on the dynamics ofa supercavitating projectilerdquo Applied Mathematical Modellingvol 24 no 2 pp 113ndash129 2000

[8] J-Y Choi M Ruzzene and O A Bauchau ldquoDynamic anal-ysis of flexible supercavitating vehicles using modal-basedelementsrdquo Simulation vol 80 no 11 pp 619ndash633 2004

[9] B Feeny ldquoA nonsmooth Coulomb friction oscillatorrdquo Physica DNonlinear Phenomena vol 59 no 1ndash3 pp 25ndash38 1992

[10] A D Vasin and E V Paryshev ldquoImmersion of cylinder in a fluidthrough a cylindrical free surfacerdquo Fluid Dynamics vol 36 no2 pp 169ndash177 2001

[11] G Lin B Balachandran and E Abed ldquoSupercavitating bodydynamics bifurcations and controlrdquo in Proceedings of theAmerican Control Conference (ACC rsquo05) pp 691ndash696 PortlandOre USA June 2005

[12] J Dzielski and A Kurdila ldquoA benchmark control problemfor supercavitating vehicles and an initial investigation ofsolutionsrdquo Journal of Vibration amp Control vol 9 no 7 pp 791ndash804 2003

[13] G J Lin B Balakumar and H A Eysd ldquoBifurcation behaviorof a supercavitating vehiclerdquo in Proceedings of the ASMEInternational Mechanical Engineering Congress and Expositionpp 293ndash300 Chicago Ill USA November 2006

[14] G J Lin B Balachandran and E H Abed ldquoDynamics andcontrol of supercavitating vehiclesrdquo Journal of Dynamic SystemsMeasurement and Control vol 130 no 2 Article ID 021003 pp281ndash287 2008

[15] M A Hassouneh V Nguyen B Balachandran and E HAbed ldquoStability analysis and control of supercavitating vehicleswith advection delayrdquo Journal of Computational and NonlinearDynamics vol 8 no 2 Article ID 021003 2012

[16] G Lin B Balachandran and E H Abed ldquoNonlinear dynamicsand bifurcations of a supercavitating vehiclerdquo IEEE Journal ofOceanic Engineering vol 32 no 4 pp 753ndash761 2007

[17] J H Wang Y J Wei and K P Yu ldquoModeling and control ofunderwater supercavitating vehicle based on memory effect ofcavityrdquo Journal of Vibration And Shock vol 29 no 8 pp 160ndash163 2010

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Page 5: Research Article Research on the Numerical Simulation of ...downloads.hindawi.com/journals/sv/2016/8268071.pdf · Research on the Numerical Simulation of the Nonlinear Dynamics of

Shock and Vibration 5

1 2 3 4 5minus010

minus005

0

005

010

t (s)

z(m

)

(a) Vertical position

0 1 2 3 4 5minus15

minus10

minus05

0

05

10

15

t (s)

w(m

middotsminus1)

(b) Transverse speed

0 1 2 3 4 5minus0010

minus0005

0

0005

0010

t (s)

120579(r

ad)

(c) Pitch angle

0 1 2 3 4 5minus4

minus2

0

2

4

6

8

t (s)

q(r

ads

)

(d) Pitch rate

1 2 3 4 5minus1

0

1

2

3

t (s)

ℎp

(m)

(e) Immersion depth

0 1 2 3 4 5minus100

0

100

200

300

t (s)

Fp

(N)

(f) Planing force

Figure 8 The motion state of the system when 119896 = minus2195

The feedback controller is designed for the supercavi-tating vehicle with control inputs being the deflection 120575

119890of

the fin and the deflection 120575119888of the cavitator 120575

119890= 119896119911 and

120575119888= 15119911 minus 30120579 minus 03119902 [12 14] were adopted in this paper

where 119896 is the feedback gain of the control variable 119911

3 Dynamic Behavior of the UnderwaterSupercavitating Vehicle

According to [15] the system parameters of the supercavi-tation vehicle are as follows 119892 = 981ms2 119898 = 2 119877

119899=

00191m 119877 = 00508m 119871 = 18m 119881 isin [677 923]ms120590 isin [00198 00368] 119899 = 05 and 119862

1199090= 082 To realize

the stablemovement of the supercavitating vehicle the effectsof cavitation number 120590 and the fin control law 119896 on thestable movement state of the vehicle were analyzed basedon the four-dimensional dynamical system Here the restof the parameters remain constant and the two-dimensionalbifurcation diagram (120590 119896) is presented in Figure 2 where theparameters are the cavitation number 120590 and the control gain119896 of the fin deflection angle 120575

119890

6 Shock and Vibration

minus06 minus04 minus02 0 02 04

08

10

12

14

16

18

20

q (rads)

w(m

middotsminus1)

(a)

0 5 10 15minus100

minus80

minus60

minus40

minus20

0

20

t (s)

Lyap

unov

expo

nent

spec

trum

(b)

Figure 9 (a) Phase trajectory diagram in 119908 minus 120579 plane when 119896 = 5 and (b) Lyapunov exponent spectrum

In the phase space of (120590 119896) the dynamic behavior of thesystem is presented in Figure 2 The horizontal section isthe bifurcation diagram of the system for different cavitationnumbers 120590 and the vertical section is the bifurcation diagramof the system when the control gain 119896 varies The parameterranges for different system states can be determined bythe two-dimensional bifurcation diagram The region in redrepresents the stable movement state of the vehicle whichmeans the vehicle will navigate steadily when 120590 and 119896 areequal to the values corresponding to any point (120590 119896) withinthis region The green area shows the periodic oscillatorynature of the vehiclemovement whichmeans that the vehiclewill oscillate periodically and hence will become unstableMoreover the vehicle navigating with the states of the yellowarea will suffer from vibration and impact and then collapseWhen the vehicle alters from the steady state to the periodicstate the Hopf bifurcation occurs The boundary betweenthe red and green regions that is the critical switching lineof the stable state and the periodic state is also called theHopf bifurcation line Similarly the boundary between thegreen and yellow areas indicates the switch between theperiodic and chaotic states where the physical phenomenasuch as tangent bifurcation and period doubling bifurcationcan occur

It can be observed from (1) that in the four-dimensionaldynamical system of the underwater vehicle only the planingforce 119865planing is the nonlinear force associated with thesystem state variable and the vertical velocity 119908 This isprimarily attributed to the fact that the complicated nonlinearforce acts on the fin of the vehicle that the vehicle suffersfrom vibration impact and even collapse due to unstablemovement Therefore the nonlinear dynamic characteristicscan be further understood by analyzing the system from thepoint of view of nonlinearity thus preparing for the stablecontrol of the supercavitating vehicle

31 Nonlinear Dynamical Characteristic of the Vehicle underDifferent Cavitation Values According to the dynamicalbehavior distribution diagram presented in Figure 2 thebifurcation diagram between the system state variable 119908 and

the cavitation number 120590 is provided in Figure 3 (119896 = 1 ie120575119890= 119911 and 120575

119888= 15119911 minus 30120579 minus 03119902) Some simple explanations

are given as followsWhen the cavitation number 120590 of the system falls in

the range of [00198 002687] the trajectory of the vehicleconverges to a stable equilibrium point

When 120590 is equal to 002687 the Hopf bifurcation occursas a result of which the stable equilibrium point becomes thestable periodic trajectory and the vehicle oscillates periodi-cally

After a series of period doubling bifurcation the systemfalls into a chaotic state and the vehicle suffers from hugeimpact When the cavitation number 120590 is approximately003083 the system has three stable periodic trajectories

The bifurcation diagram shown in Figure 3 when 120590 isin

[00315 00325] is magnified in Figure 4 which depicts thediversified bifurcation behaviors of the system

After a series of period doubling bifurcations the systemshifts from three periodic trajectories into three huge chaoticattractors respectively when 120590 is approximately 003197 thisphenomenon is referred to as chaos crisis [12]

When 120590 is equal to 0032 the chaotic attractors suddenlychange into periodic trajectories and form one period-2window and two period-3 windows This phenomenon isreferred to as tangent bifurcation The tangent bifurcationwill cause intermittent chaos and the periodic trajectoriessuddenly develop chaotic bands in the periodic window afterexperiencing a period doubling bifurcation

When 120590 is equal to 003204 the secondary chaotic bandcoincides with the unstable periodic trajectories which thencauses the chaotic crisis The secondary narrow chaotic bandwill then transform into a broad chaotic band

With the increase of 120590 the obvious period-2 windowoccurs for 120590 isin [003207 003225] and when 120590 is approxi-mately 0032228 the broad chaotic band suddenly changesinto two periodic trajectories

32 Nonlinear Dynamic Characteristic of the Vehicle underDifferent Fin Deflection Angles When the cavitation number

Shock and Vibration 7

10 15 200044

0045

0046

0047

0048

z(m

)

t (s)

(a) Vertical position

10 15 2010

15

20

t (s)

w(m

middotsminus1)

(b) Transverse speed

10 15 200020

0021

0022

t (s)

120579(r

ad)

(c) Pitch angle

10 15 20minus03

minus02

minus01

0

01

02

03

q(r

ads

)

t (s)

(d) Pitch rate

minus002

0

002

004

006

008

15 2010t (s)

hp

(m)

(e) Immersion depth

10 15 20minus20

0

20

40

60

80

t (s)

Fp

(N)

(f) Planing force

Figure 10 The motion state of the system when 119896 = 5

is set as 120590 = 00315 the cavitator deflection angle is 120575119888=

15119911 minus 30120579 minus 03119902 and the fin deflection angle is 120575119890= 119896119911 The

bifurcation diagram of the supercavitating vehicle betweenthe system state variable 119908 and the control gain 119896 of the findeflection angle is presented in Figure 5 According to thedynamical behavior distribution presented in Figure 2 the

effective range of the control gain 119896 for the supercavitatingvehicle is presented in Figure 5 when 120590 = 00315

Figure 5 shows that when 119896 falls within the wider range[minus7614 minus5238] the system is in a chaotic state and finallythe period-2 trajectory occurs through period doublingbifurcation

8 Shock and Vibration

minus04 minus02 0 02 04 06minus20

minus10

0

10

20

q (rads)

w(m

middotsminus1)

(a)

0 5 10 15

minus100

minus80

minus60

minus40

minus20

0

20

Lyap

unov

expo

nent

spec

trum

t (s)

(b)

Figure 11 (a) Phase trajectory diagram in 119908 minus 120579 plane when 119896 = minus55 and (b) Lyapunov exponent spectrum

When 119896 is approximately 856 the periodic state endsand the system is in the divergent state The correspondingmagnified part in Figure 5 for minus80 lt 119896 lt minus50 is givenin Figure 6 which indicates that the system changes from aperiodic state into a chaotic state when 119896 = minus779

When 119896 is approximately minus7754 the tangent bifurcationoccurs leading to an intermittent chaos and forming theperiod-3 windows and then three stable periodic trajectories

The period doubling bifurcations occur for the threetrajectories when 119896 is approximately minus77 minus7616 or minus755When 119896 is approximately minus746 the secondary chaotic bandand the unstable periodic trajectories converge into chaos

When 119896 is approximately minus7358 the tangent bifurcationoccurs The system suddenly switches from chaotic state toperiodic state and the period-three windows forms With theoccurrence of a series of period doubling bifurcation thesystem enters into the chaotic state again when 119896 is betweenminus7118 andminus5264 uponwhich the system switches back fromthe chaotic state to the periodic state

4 Movement Characteristic Analysis of theUnderwater Supercavitating Vehicle

When the system of the supercavitating vehicle is not con-trolled the movement state of the system is unstable [12 14]To investigate its movement characteristics alone accordingto the two-dimensional bifurcation diagram the rest of theparameters of the system should be kept constant Assumingthat 120590 is equal to 00315 the feedback control laws 120575

119888=

15119911 minus 30120579 minus 03119902 and 120575119890= minus2195119911 which corresponds to

the point (00315 minus2195) in the red stable movement area inFigure 2Thephase trajectory diagram is shown in Figure 7(a)when the control gain of the fin deflection angle 119896 is equal tominus2195

It can be observed that when 119896 = minus2195 the phasetrajectory of the system gradually stabilizes at an equilibriumpointThe Lyapunov exponent spectrum as a function of time

is presented in Figure 7(b) in which the values of the largestLyapunov exponent curve are negative within a finite time

The motion state of the supercavitating vehicle is pre-sented in Figure 8 inwhich the system state variables namelythe vertical position 119911 the transverse speed119908 the pitch angle120579 and the pitch rate 119902 are attracted to the equilibrium point(00047 00866 00012 0) with less settling time under thecontrol of the law of stable movement

Figures 8(e) and 8(f) demonstrate that the immersiondepth ℎ

1015840 of the fin and the corresponding planing force 119865119901

are both 0 This indicates that the fin is inside the cavity anddoes not have any contact with the cavity the vehicle is in astable navigation state

When 120590 is equal to 00315 the feedback control laws are120575119888= 15119911 minus 30120579 minus 03119902 and 120575

119890= 3119911 which corresponds to the

point (00315 3) in the green periodic oscillation region inFigure 2

Figure 9(a) tells us that the phase trajectory is a limitcycle with period 2 when the control gain of the fin deflectionangle 119896 is equal to 3 The Lyapunov exponent spectrumcorresponding to 119896 = 3 is shown in Figure 9(b) It is notdifficult to find that the system approximately has a zeroLyapunov exponent and three negative Lyapunov exponents

The motion state of the supercavitating vehicle is shownin Figure 10 in which the system state variables namelythe vertical position 119911 the transverse speed119908 the pitch angle120579 and the pitch rate velocity 119902 oscillate periodically at theequilibrium point (00416 13937 00190 0)

The immersion depth ℎ1015840 of the fin oscillates periodically

in the range of [0 006] (in m) which indicates that thevehicle continuously collides with the cavity wall

The fin is inside the cavity at times and does not come incontact with the cavity which results in zero planing force119865119901 The fin penetrates the cavity into the water at times

and produces the planing force oscillating periodically in therange of [0 48] (in N) The above actions repeat again andagain and such phenomenon is referred to as ldquofin attackphenomenonrdquo It also indicates that the vehicle is in anunstable periodic oscillating state

Shock and Vibration 9

0 05 10minus006

minus004

minus002

0

002

004

006

008

010

z(m

)

t (s)

(a) Vertical position

0 05 10t (s)

minus3

minus2

minus1

0

1

2

3

w(m

middotsminus1)

(b) Transverse speed

0 05 10minus0004

minus0002

0

0002

0004

t (s)

120579(r

ad)

(c) Pitch angle

0 05 10minus10

minus05

0

05

10

t (s)

q(r

ads

)

(d) Pitch rate

0 05 10minus002

0

002

004

006

008

t (s)

hp

(m)

(e) Immersion depth

0 05 10minus60

minus40

minus20

0

20

40

60

80

t (s)

Fp

(N)

(f) Planing force

Figure 12 The motion state of the system when 119896 = 55

When 120590 is equal to 00315 the feedback control laws of120575119888= 15119911 minus 30120579 minus 03119902 and 120575

119890= minus55119911 are selected which

corresponds to the point (00315 minus55) in the yellow chaoticarea in Figure 2

Figure 11(a) demonstrates that the phase trajectory is achaotic attractor when the control gain of the fin deflectionangle 119896 is equal to minus55 which indicates that the chaoshas occurred and the movement of the vehicle has the

characteristics of a nonlinear dynamic behavior The Lya-punov exponent spectrum corresponding to 119896 = minus55 isgiven in Figure 11(b) It is relatively easy to find that thesystem has a positive Lyapunov exponent and three negativeLyapunov exponents suggesting that the system is in a four-dimensional chaotic state

The motion state of the system is presented in Figure 12After the launch of the supercavitating vehicle the four

10 Shock and Vibration

system state variables namely 119911119908 120579 and 119902 are in the intensenonperiodic oscillating stateThus the vehicle in motion willexperience instability

It can be observed fromFigures 12(e) and 12(f) that withinthe time range of [1 2] (values in 119904) the fin of the vehicleis continuously into contact with the cavity wall under theaction of gravity and produces the planing forceThe planingforce increases gradually with the increase of immersiondepth and the vehicle will rebound inside the cavity whichresults in the loss of the planing force The above actionsrepeat subsequently and the planing force oscillates Theexistence of the planing force will cause vibration and impactto the vehicle resulting in the loss of stability of the vehicleTherefore precise control must be exerted on the vehicle toavoid the above situations [16 17]

5 Conclusions

Thenonlinear dynamic characteristicmovement states underdifferent control parameters of the supercavitating vehiclewere analyzed based on a four-dimensional dynamical modelof the vehicle The following conclusions have been mainlyderived

(1) The movement trajectories of the supercavitatingvehicle have complicated dynamical behavior thesystem will experience Hopf bifurcation periodicalwindows chaos and other nonlinear phenomenawhen the control parameters vary

(2) The movement state of the vehicle under differentcontrol parameters was numerically and preciselyanalyzed according to the phase trajectory diagramthe bifurcation diagram and the Lyapunov exponen-tial spectrum

(3) Most importantly the authors were the first tofind that the range of parameters of the vehicle inany movement state can be determined by a two-dimensional bifurcation diagram The importance ofselecting appropriate control parameters to realize thestable navigation of the supercavitating vehicle wasdemonstrated

It is believed that the work presented in this paper is ofgreat importance for further studies on the stable controlof the underwater supercavitating vehicles especially forengineering practice

Competing Interests

The authors declare that there is no conflict of interestsregarding the publication of this paper

Acknowledgments

This work is supported by the National Natural ScienceFoundation of China (nos 11472163 11402116 and 61473340)

References

[1] G Wang and M Ostoja-Starzewski ldquoLarge eddy simulationof a sheetcloud cavitation on a NACA0015 hydrofoilrdquo AppliedMathematical Modelling vol 31 no 3 pp 417ndash447 2007

[2] Q T Li Y S He and L P Xue ldquoA numerical simulationof pitching motion of the ventilated supercaviting vehicleapproximately its frontrdquo Chinese Journal of Hydrodynamics vol26 no 6 pp 589ndash685 2011

[3] A K Singhal M M Athavale H Li and Y Jiang ldquoMathemati-cal basis and validation of the full cavitation modelrdquo Journal ofFluids Engineering vol 124 no 3 pp 617ndash624 2002

[4] Y N Savchenko ldquoSupercavitation problems and perspectivesrdquoin Proceedings of the 4th International Symposium onCavitationPasadena Calif USA April 2001

[5] M A Hassouneh and E H Abed ldquoLyapunov and LMI analysisand feedback control of border collision bifurcationsrdquo Nonlin-ear Dynamics vol 50 no 3 pp 373ndash386 2007

[6] Y J Wei J H Wang J Z Zhang W Cao and W H HuangldquoNonlinear dynamics and control of underwater supercavitat-ing vehiclerdquo Journal of Vibration And Shock vol 28 no 6 pp179ndash204 2009

[7] S S Kulkarni and R Pratap ldquoStudies on the dynamics ofa supercavitating projectilerdquo Applied Mathematical Modellingvol 24 no 2 pp 113ndash129 2000

[8] J-Y Choi M Ruzzene and O A Bauchau ldquoDynamic anal-ysis of flexible supercavitating vehicles using modal-basedelementsrdquo Simulation vol 80 no 11 pp 619ndash633 2004

[9] B Feeny ldquoA nonsmooth Coulomb friction oscillatorrdquo Physica DNonlinear Phenomena vol 59 no 1ndash3 pp 25ndash38 1992

[10] A D Vasin and E V Paryshev ldquoImmersion of cylinder in a fluidthrough a cylindrical free surfacerdquo Fluid Dynamics vol 36 no2 pp 169ndash177 2001

[11] G Lin B Balachandran and E Abed ldquoSupercavitating bodydynamics bifurcations and controlrdquo in Proceedings of theAmerican Control Conference (ACC rsquo05) pp 691ndash696 PortlandOre USA June 2005

[12] J Dzielski and A Kurdila ldquoA benchmark control problemfor supercavitating vehicles and an initial investigation ofsolutionsrdquo Journal of Vibration amp Control vol 9 no 7 pp 791ndash804 2003

[13] G J Lin B Balakumar and H A Eysd ldquoBifurcation behaviorof a supercavitating vehiclerdquo in Proceedings of the ASMEInternational Mechanical Engineering Congress and Expositionpp 293ndash300 Chicago Ill USA November 2006

[14] G J Lin B Balachandran and E H Abed ldquoDynamics andcontrol of supercavitating vehiclesrdquo Journal of Dynamic SystemsMeasurement and Control vol 130 no 2 Article ID 021003 pp281ndash287 2008

[15] M A Hassouneh V Nguyen B Balachandran and E HAbed ldquoStability analysis and control of supercavitating vehicleswith advection delayrdquo Journal of Computational and NonlinearDynamics vol 8 no 2 Article ID 021003 2012

[16] G Lin B Balachandran and E H Abed ldquoNonlinear dynamicsand bifurcations of a supercavitating vehiclerdquo IEEE Journal ofOceanic Engineering vol 32 no 4 pp 753ndash761 2007

[17] J H Wang Y J Wei and K P Yu ldquoModeling and control ofunderwater supercavitating vehicle based on memory effect ofcavityrdquo Journal of Vibration And Shock vol 29 no 8 pp 160ndash163 2010

International Journal of

AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

RoboticsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Active and Passive Electronic Components

Control Scienceand Engineering

Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of

RotatingMachinery

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporation httpwwwhindawicom

Journal ofEngineeringVolume 2014

Submit your manuscripts athttpwwwhindawicom

VLSI Design

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Shock and Vibration

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Civil EngineeringAdvances in

Acoustics and VibrationAdvances in

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Electrical and Computer Engineering

Journal of

Advances inOptoElectronics

Hindawi Publishing Corporation httpwwwhindawicom

Volume 2014

The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014

SensorsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Chemical EngineeringInternational Journal of Antennas and

Propagation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Navigation and Observation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

DistributedSensor Networks

International Journal of

Page 6: Research Article Research on the Numerical Simulation of ...downloads.hindawi.com/journals/sv/2016/8268071.pdf · Research on the Numerical Simulation of the Nonlinear Dynamics of

6 Shock and Vibration

minus06 minus04 minus02 0 02 04

08

10

12

14

16

18

20

q (rads)

w(m

middotsminus1)

(a)

0 5 10 15minus100

minus80

minus60

minus40

minus20

0

20

t (s)

Lyap

unov

expo

nent

spec

trum

(b)

Figure 9 (a) Phase trajectory diagram in 119908 minus 120579 plane when 119896 = 5 and (b) Lyapunov exponent spectrum

In the phase space of (120590 119896) the dynamic behavior of thesystem is presented in Figure 2 The horizontal section isthe bifurcation diagram of the system for different cavitationnumbers 120590 and the vertical section is the bifurcation diagramof the system when the control gain 119896 varies The parameterranges for different system states can be determined bythe two-dimensional bifurcation diagram The region in redrepresents the stable movement state of the vehicle whichmeans the vehicle will navigate steadily when 120590 and 119896 areequal to the values corresponding to any point (120590 119896) withinthis region The green area shows the periodic oscillatorynature of the vehiclemovement whichmeans that the vehiclewill oscillate periodically and hence will become unstableMoreover the vehicle navigating with the states of the yellowarea will suffer from vibration and impact and then collapseWhen the vehicle alters from the steady state to the periodicstate the Hopf bifurcation occurs The boundary betweenthe red and green regions that is the critical switching lineof the stable state and the periodic state is also called theHopf bifurcation line Similarly the boundary between thegreen and yellow areas indicates the switch between theperiodic and chaotic states where the physical phenomenasuch as tangent bifurcation and period doubling bifurcationcan occur

It can be observed from (1) that in the four-dimensionaldynamical system of the underwater vehicle only the planingforce 119865planing is the nonlinear force associated with thesystem state variable and the vertical velocity 119908 This isprimarily attributed to the fact that the complicated nonlinearforce acts on the fin of the vehicle that the vehicle suffersfrom vibration impact and even collapse due to unstablemovement Therefore the nonlinear dynamic characteristicscan be further understood by analyzing the system from thepoint of view of nonlinearity thus preparing for the stablecontrol of the supercavitating vehicle

31 Nonlinear Dynamical Characteristic of the Vehicle underDifferent Cavitation Values According to the dynamicalbehavior distribution diagram presented in Figure 2 thebifurcation diagram between the system state variable 119908 and

the cavitation number 120590 is provided in Figure 3 (119896 = 1 ie120575119890= 119911 and 120575

119888= 15119911 minus 30120579 minus 03119902) Some simple explanations

are given as followsWhen the cavitation number 120590 of the system falls in

the range of [00198 002687] the trajectory of the vehicleconverges to a stable equilibrium point

When 120590 is equal to 002687 the Hopf bifurcation occursas a result of which the stable equilibrium point becomes thestable periodic trajectory and the vehicle oscillates periodi-cally

After a series of period doubling bifurcation the systemfalls into a chaotic state and the vehicle suffers from hugeimpact When the cavitation number 120590 is approximately003083 the system has three stable periodic trajectories

The bifurcation diagram shown in Figure 3 when 120590 isin

[00315 00325] is magnified in Figure 4 which depicts thediversified bifurcation behaviors of the system

After a series of period doubling bifurcations the systemshifts from three periodic trajectories into three huge chaoticattractors respectively when 120590 is approximately 003197 thisphenomenon is referred to as chaos crisis [12]

When 120590 is equal to 0032 the chaotic attractors suddenlychange into periodic trajectories and form one period-2window and two period-3 windows This phenomenon isreferred to as tangent bifurcation The tangent bifurcationwill cause intermittent chaos and the periodic trajectoriessuddenly develop chaotic bands in the periodic window afterexperiencing a period doubling bifurcation

When 120590 is equal to 003204 the secondary chaotic bandcoincides with the unstable periodic trajectories which thencauses the chaotic crisis The secondary narrow chaotic bandwill then transform into a broad chaotic band

With the increase of 120590 the obvious period-2 windowoccurs for 120590 isin [003207 003225] and when 120590 is approxi-mately 0032228 the broad chaotic band suddenly changesinto two periodic trajectories

32 Nonlinear Dynamic Characteristic of the Vehicle underDifferent Fin Deflection Angles When the cavitation number

Shock and Vibration 7

10 15 200044

0045

0046

0047

0048

z(m

)

t (s)

(a) Vertical position

10 15 2010

15

20

t (s)

w(m

middotsminus1)

(b) Transverse speed

10 15 200020

0021

0022

t (s)

120579(r

ad)

(c) Pitch angle

10 15 20minus03

minus02

minus01

0

01

02

03

q(r

ads

)

t (s)

(d) Pitch rate

minus002

0

002

004

006

008

15 2010t (s)

hp

(m)

(e) Immersion depth

10 15 20minus20

0

20

40

60

80

t (s)

Fp

(N)

(f) Planing force

Figure 10 The motion state of the system when 119896 = 5

is set as 120590 = 00315 the cavitator deflection angle is 120575119888=

15119911 minus 30120579 minus 03119902 and the fin deflection angle is 120575119890= 119896119911 The

bifurcation diagram of the supercavitating vehicle betweenthe system state variable 119908 and the control gain 119896 of the findeflection angle is presented in Figure 5 According to thedynamical behavior distribution presented in Figure 2 the

effective range of the control gain 119896 for the supercavitatingvehicle is presented in Figure 5 when 120590 = 00315

Figure 5 shows that when 119896 falls within the wider range[minus7614 minus5238] the system is in a chaotic state and finallythe period-2 trajectory occurs through period doublingbifurcation

8 Shock and Vibration

minus04 minus02 0 02 04 06minus20

minus10

0

10

20

q (rads)

w(m

middotsminus1)

(a)

0 5 10 15

minus100

minus80

minus60

minus40

minus20

0

20

Lyap

unov

expo

nent

spec

trum

t (s)

(b)

Figure 11 (a) Phase trajectory diagram in 119908 minus 120579 plane when 119896 = minus55 and (b) Lyapunov exponent spectrum

When 119896 is approximately 856 the periodic state endsand the system is in the divergent state The correspondingmagnified part in Figure 5 for minus80 lt 119896 lt minus50 is givenin Figure 6 which indicates that the system changes from aperiodic state into a chaotic state when 119896 = minus779

When 119896 is approximately minus7754 the tangent bifurcationoccurs leading to an intermittent chaos and forming theperiod-3 windows and then three stable periodic trajectories

The period doubling bifurcations occur for the threetrajectories when 119896 is approximately minus77 minus7616 or minus755When 119896 is approximately minus746 the secondary chaotic bandand the unstable periodic trajectories converge into chaos

When 119896 is approximately minus7358 the tangent bifurcationoccurs The system suddenly switches from chaotic state toperiodic state and the period-three windows forms With theoccurrence of a series of period doubling bifurcation thesystem enters into the chaotic state again when 119896 is betweenminus7118 andminus5264 uponwhich the system switches back fromthe chaotic state to the periodic state

4 Movement Characteristic Analysis of theUnderwater Supercavitating Vehicle

When the system of the supercavitating vehicle is not con-trolled the movement state of the system is unstable [12 14]To investigate its movement characteristics alone accordingto the two-dimensional bifurcation diagram the rest of theparameters of the system should be kept constant Assumingthat 120590 is equal to 00315 the feedback control laws 120575

119888=

15119911 minus 30120579 minus 03119902 and 120575119890= minus2195119911 which corresponds to

the point (00315 minus2195) in the red stable movement area inFigure 2Thephase trajectory diagram is shown in Figure 7(a)when the control gain of the fin deflection angle 119896 is equal tominus2195

It can be observed that when 119896 = minus2195 the phasetrajectory of the system gradually stabilizes at an equilibriumpointThe Lyapunov exponent spectrum as a function of time

is presented in Figure 7(b) in which the values of the largestLyapunov exponent curve are negative within a finite time

The motion state of the supercavitating vehicle is pre-sented in Figure 8 inwhich the system state variables namelythe vertical position 119911 the transverse speed119908 the pitch angle120579 and the pitch rate 119902 are attracted to the equilibrium point(00047 00866 00012 0) with less settling time under thecontrol of the law of stable movement

Figures 8(e) and 8(f) demonstrate that the immersiondepth ℎ

1015840 of the fin and the corresponding planing force 119865119901

are both 0 This indicates that the fin is inside the cavity anddoes not have any contact with the cavity the vehicle is in astable navigation state

When 120590 is equal to 00315 the feedback control laws are120575119888= 15119911 minus 30120579 minus 03119902 and 120575

119890= 3119911 which corresponds to the

point (00315 3) in the green periodic oscillation region inFigure 2

Figure 9(a) tells us that the phase trajectory is a limitcycle with period 2 when the control gain of the fin deflectionangle 119896 is equal to 3 The Lyapunov exponent spectrumcorresponding to 119896 = 3 is shown in Figure 9(b) It is notdifficult to find that the system approximately has a zeroLyapunov exponent and three negative Lyapunov exponents

The motion state of the supercavitating vehicle is shownin Figure 10 in which the system state variables namelythe vertical position 119911 the transverse speed119908 the pitch angle120579 and the pitch rate velocity 119902 oscillate periodically at theequilibrium point (00416 13937 00190 0)

The immersion depth ℎ1015840 of the fin oscillates periodically

in the range of [0 006] (in m) which indicates that thevehicle continuously collides with the cavity wall

The fin is inside the cavity at times and does not come incontact with the cavity which results in zero planing force119865119901 The fin penetrates the cavity into the water at times

and produces the planing force oscillating periodically in therange of [0 48] (in N) The above actions repeat again andagain and such phenomenon is referred to as ldquofin attackphenomenonrdquo It also indicates that the vehicle is in anunstable periodic oscillating state

Shock and Vibration 9

0 05 10minus006

minus004

minus002

0

002

004

006

008

010

z(m

)

t (s)

(a) Vertical position

0 05 10t (s)

minus3

minus2

minus1

0

1

2

3

w(m

middotsminus1)

(b) Transverse speed

0 05 10minus0004

minus0002

0

0002

0004

t (s)

120579(r

ad)

(c) Pitch angle

0 05 10minus10

minus05

0

05

10

t (s)

q(r

ads

)

(d) Pitch rate

0 05 10minus002

0

002

004

006

008

t (s)

hp

(m)

(e) Immersion depth

0 05 10minus60

minus40

minus20

0

20

40

60

80

t (s)

Fp

(N)

(f) Planing force

Figure 12 The motion state of the system when 119896 = 55

When 120590 is equal to 00315 the feedback control laws of120575119888= 15119911 minus 30120579 minus 03119902 and 120575

119890= minus55119911 are selected which

corresponds to the point (00315 minus55) in the yellow chaoticarea in Figure 2

Figure 11(a) demonstrates that the phase trajectory is achaotic attractor when the control gain of the fin deflectionangle 119896 is equal to minus55 which indicates that the chaoshas occurred and the movement of the vehicle has the

characteristics of a nonlinear dynamic behavior The Lya-punov exponent spectrum corresponding to 119896 = minus55 isgiven in Figure 11(b) It is relatively easy to find that thesystem has a positive Lyapunov exponent and three negativeLyapunov exponents suggesting that the system is in a four-dimensional chaotic state

The motion state of the system is presented in Figure 12After the launch of the supercavitating vehicle the four

10 Shock and Vibration

system state variables namely 119911119908 120579 and 119902 are in the intensenonperiodic oscillating stateThus the vehicle in motion willexperience instability

It can be observed fromFigures 12(e) and 12(f) that withinthe time range of [1 2] (values in 119904) the fin of the vehicleis continuously into contact with the cavity wall under theaction of gravity and produces the planing forceThe planingforce increases gradually with the increase of immersiondepth and the vehicle will rebound inside the cavity whichresults in the loss of the planing force The above actionsrepeat subsequently and the planing force oscillates Theexistence of the planing force will cause vibration and impactto the vehicle resulting in the loss of stability of the vehicleTherefore precise control must be exerted on the vehicle toavoid the above situations [16 17]

5 Conclusions

Thenonlinear dynamic characteristicmovement states underdifferent control parameters of the supercavitating vehiclewere analyzed based on a four-dimensional dynamical modelof the vehicle The following conclusions have been mainlyderived

(1) The movement trajectories of the supercavitatingvehicle have complicated dynamical behavior thesystem will experience Hopf bifurcation periodicalwindows chaos and other nonlinear phenomenawhen the control parameters vary

(2) The movement state of the vehicle under differentcontrol parameters was numerically and preciselyanalyzed according to the phase trajectory diagramthe bifurcation diagram and the Lyapunov exponen-tial spectrum

(3) Most importantly the authors were the first tofind that the range of parameters of the vehicle inany movement state can be determined by a two-dimensional bifurcation diagram The importance ofselecting appropriate control parameters to realize thestable navigation of the supercavitating vehicle wasdemonstrated

It is believed that the work presented in this paper is ofgreat importance for further studies on the stable controlof the underwater supercavitating vehicles especially forengineering practice

Competing Interests

The authors declare that there is no conflict of interestsregarding the publication of this paper

Acknowledgments

This work is supported by the National Natural ScienceFoundation of China (nos 11472163 11402116 and 61473340)

References

[1] G Wang and M Ostoja-Starzewski ldquoLarge eddy simulationof a sheetcloud cavitation on a NACA0015 hydrofoilrdquo AppliedMathematical Modelling vol 31 no 3 pp 417ndash447 2007

[2] Q T Li Y S He and L P Xue ldquoA numerical simulationof pitching motion of the ventilated supercaviting vehicleapproximately its frontrdquo Chinese Journal of Hydrodynamics vol26 no 6 pp 589ndash685 2011

[3] A K Singhal M M Athavale H Li and Y Jiang ldquoMathemati-cal basis and validation of the full cavitation modelrdquo Journal ofFluids Engineering vol 124 no 3 pp 617ndash624 2002

[4] Y N Savchenko ldquoSupercavitation problems and perspectivesrdquoin Proceedings of the 4th International Symposium onCavitationPasadena Calif USA April 2001

[5] M A Hassouneh and E H Abed ldquoLyapunov and LMI analysisand feedback control of border collision bifurcationsrdquo Nonlin-ear Dynamics vol 50 no 3 pp 373ndash386 2007

[6] Y J Wei J H Wang J Z Zhang W Cao and W H HuangldquoNonlinear dynamics and control of underwater supercavitat-ing vehiclerdquo Journal of Vibration And Shock vol 28 no 6 pp179ndash204 2009

[7] S S Kulkarni and R Pratap ldquoStudies on the dynamics ofa supercavitating projectilerdquo Applied Mathematical Modellingvol 24 no 2 pp 113ndash129 2000

[8] J-Y Choi M Ruzzene and O A Bauchau ldquoDynamic anal-ysis of flexible supercavitating vehicles using modal-basedelementsrdquo Simulation vol 80 no 11 pp 619ndash633 2004

[9] B Feeny ldquoA nonsmooth Coulomb friction oscillatorrdquo Physica DNonlinear Phenomena vol 59 no 1ndash3 pp 25ndash38 1992

[10] A D Vasin and E V Paryshev ldquoImmersion of cylinder in a fluidthrough a cylindrical free surfacerdquo Fluid Dynamics vol 36 no2 pp 169ndash177 2001

[11] G Lin B Balachandran and E Abed ldquoSupercavitating bodydynamics bifurcations and controlrdquo in Proceedings of theAmerican Control Conference (ACC rsquo05) pp 691ndash696 PortlandOre USA June 2005

[12] J Dzielski and A Kurdila ldquoA benchmark control problemfor supercavitating vehicles and an initial investigation ofsolutionsrdquo Journal of Vibration amp Control vol 9 no 7 pp 791ndash804 2003

[13] G J Lin B Balakumar and H A Eysd ldquoBifurcation behaviorof a supercavitating vehiclerdquo in Proceedings of the ASMEInternational Mechanical Engineering Congress and Expositionpp 293ndash300 Chicago Ill USA November 2006

[14] G J Lin B Balachandran and E H Abed ldquoDynamics andcontrol of supercavitating vehiclesrdquo Journal of Dynamic SystemsMeasurement and Control vol 130 no 2 Article ID 021003 pp281ndash287 2008

[15] M A Hassouneh V Nguyen B Balachandran and E HAbed ldquoStability analysis and control of supercavitating vehicleswith advection delayrdquo Journal of Computational and NonlinearDynamics vol 8 no 2 Article ID 021003 2012

[16] G Lin B Balachandran and E H Abed ldquoNonlinear dynamicsand bifurcations of a supercavitating vehiclerdquo IEEE Journal ofOceanic Engineering vol 32 no 4 pp 753ndash761 2007

[17] J H Wang Y J Wei and K P Yu ldquoModeling and control ofunderwater supercavitating vehicle based on memory effect ofcavityrdquo Journal of Vibration And Shock vol 29 no 8 pp 160ndash163 2010

International Journal of

AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

RoboticsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Active and Passive Electronic Components

Control Scienceand Engineering

Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of

RotatingMachinery

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporation httpwwwhindawicom

Journal ofEngineeringVolume 2014

Submit your manuscripts athttpwwwhindawicom

VLSI Design

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Shock and Vibration

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Civil EngineeringAdvances in

Acoustics and VibrationAdvances in

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Electrical and Computer Engineering

Journal of

Advances inOptoElectronics

Hindawi Publishing Corporation httpwwwhindawicom

Volume 2014

The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014

SensorsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Chemical EngineeringInternational Journal of Antennas and

Propagation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Navigation and Observation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

DistributedSensor Networks

International Journal of

Page 7: Research Article Research on the Numerical Simulation of ...downloads.hindawi.com/journals/sv/2016/8268071.pdf · Research on the Numerical Simulation of the Nonlinear Dynamics of

Shock and Vibration 7

10 15 200044

0045

0046

0047

0048

z(m

)

t (s)

(a) Vertical position

10 15 2010

15

20

t (s)

w(m

middotsminus1)

(b) Transverse speed

10 15 200020

0021

0022

t (s)

120579(r

ad)

(c) Pitch angle

10 15 20minus03

minus02

minus01

0

01

02

03

q(r

ads

)

t (s)

(d) Pitch rate

minus002

0

002

004

006

008

15 2010t (s)

hp

(m)

(e) Immersion depth

10 15 20minus20

0

20

40

60

80

t (s)

Fp

(N)

(f) Planing force

Figure 10 The motion state of the system when 119896 = 5

is set as 120590 = 00315 the cavitator deflection angle is 120575119888=

15119911 minus 30120579 minus 03119902 and the fin deflection angle is 120575119890= 119896119911 The

bifurcation diagram of the supercavitating vehicle betweenthe system state variable 119908 and the control gain 119896 of the findeflection angle is presented in Figure 5 According to thedynamical behavior distribution presented in Figure 2 the

effective range of the control gain 119896 for the supercavitatingvehicle is presented in Figure 5 when 120590 = 00315

Figure 5 shows that when 119896 falls within the wider range[minus7614 minus5238] the system is in a chaotic state and finallythe period-2 trajectory occurs through period doublingbifurcation

8 Shock and Vibration

minus04 minus02 0 02 04 06minus20

minus10

0

10

20

q (rads)

w(m

middotsminus1)

(a)

0 5 10 15

minus100

minus80

minus60

minus40

minus20

0

20

Lyap

unov

expo

nent

spec

trum

t (s)

(b)

Figure 11 (a) Phase trajectory diagram in 119908 minus 120579 plane when 119896 = minus55 and (b) Lyapunov exponent spectrum

When 119896 is approximately 856 the periodic state endsand the system is in the divergent state The correspondingmagnified part in Figure 5 for minus80 lt 119896 lt minus50 is givenin Figure 6 which indicates that the system changes from aperiodic state into a chaotic state when 119896 = minus779

When 119896 is approximately minus7754 the tangent bifurcationoccurs leading to an intermittent chaos and forming theperiod-3 windows and then three stable periodic trajectories

The period doubling bifurcations occur for the threetrajectories when 119896 is approximately minus77 minus7616 or minus755When 119896 is approximately minus746 the secondary chaotic bandand the unstable periodic trajectories converge into chaos

When 119896 is approximately minus7358 the tangent bifurcationoccurs The system suddenly switches from chaotic state toperiodic state and the period-three windows forms With theoccurrence of a series of period doubling bifurcation thesystem enters into the chaotic state again when 119896 is betweenminus7118 andminus5264 uponwhich the system switches back fromthe chaotic state to the periodic state

4 Movement Characteristic Analysis of theUnderwater Supercavitating Vehicle

When the system of the supercavitating vehicle is not con-trolled the movement state of the system is unstable [12 14]To investigate its movement characteristics alone accordingto the two-dimensional bifurcation diagram the rest of theparameters of the system should be kept constant Assumingthat 120590 is equal to 00315 the feedback control laws 120575

119888=

15119911 minus 30120579 minus 03119902 and 120575119890= minus2195119911 which corresponds to

the point (00315 minus2195) in the red stable movement area inFigure 2Thephase trajectory diagram is shown in Figure 7(a)when the control gain of the fin deflection angle 119896 is equal tominus2195

It can be observed that when 119896 = minus2195 the phasetrajectory of the system gradually stabilizes at an equilibriumpointThe Lyapunov exponent spectrum as a function of time

is presented in Figure 7(b) in which the values of the largestLyapunov exponent curve are negative within a finite time

The motion state of the supercavitating vehicle is pre-sented in Figure 8 inwhich the system state variables namelythe vertical position 119911 the transverse speed119908 the pitch angle120579 and the pitch rate 119902 are attracted to the equilibrium point(00047 00866 00012 0) with less settling time under thecontrol of the law of stable movement

Figures 8(e) and 8(f) demonstrate that the immersiondepth ℎ

1015840 of the fin and the corresponding planing force 119865119901

are both 0 This indicates that the fin is inside the cavity anddoes not have any contact with the cavity the vehicle is in astable navigation state

When 120590 is equal to 00315 the feedback control laws are120575119888= 15119911 minus 30120579 minus 03119902 and 120575

119890= 3119911 which corresponds to the

point (00315 3) in the green periodic oscillation region inFigure 2

Figure 9(a) tells us that the phase trajectory is a limitcycle with period 2 when the control gain of the fin deflectionangle 119896 is equal to 3 The Lyapunov exponent spectrumcorresponding to 119896 = 3 is shown in Figure 9(b) It is notdifficult to find that the system approximately has a zeroLyapunov exponent and three negative Lyapunov exponents

The motion state of the supercavitating vehicle is shownin Figure 10 in which the system state variables namelythe vertical position 119911 the transverse speed119908 the pitch angle120579 and the pitch rate velocity 119902 oscillate periodically at theequilibrium point (00416 13937 00190 0)

The immersion depth ℎ1015840 of the fin oscillates periodically

in the range of [0 006] (in m) which indicates that thevehicle continuously collides with the cavity wall

The fin is inside the cavity at times and does not come incontact with the cavity which results in zero planing force119865119901 The fin penetrates the cavity into the water at times

and produces the planing force oscillating periodically in therange of [0 48] (in N) The above actions repeat again andagain and such phenomenon is referred to as ldquofin attackphenomenonrdquo It also indicates that the vehicle is in anunstable periodic oscillating state

Shock and Vibration 9

0 05 10minus006

minus004

minus002

0

002

004

006

008

010

z(m

)

t (s)

(a) Vertical position

0 05 10t (s)

minus3

minus2

minus1

0

1

2

3

w(m

middotsminus1)

(b) Transverse speed

0 05 10minus0004

minus0002

0

0002

0004

t (s)

120579(r

ad)

(c) Pitch angle

0 05 10minus10

minus05

0

05

10

t (s)

q(r

ads

)

(d) Pitch rate

0 05 10minus002

0

002

004

006

008

t (s)

hp

(m)

(e) Immersion depth

0 05 10minus60

minus40

minus20

0

20

40

60

80

t (s)

Fp

(N)

(f) Planing force

Figure 12 The motion state of the system when 119896 = 55

When 120590 is equal to 00315 the feedback control laws of120575119888= 15119911 minus 30120579 minus 03119902 and 120575

119890= minus55119911 are selected which

corresponds to the point (00315 minus55) in the yellow chaoticarea in Figure 2

Figure 11(a) demonstrates that the phase trajectory is achaotic attractor when the control gain of the fin deflectionangle 119896 is equal to minus55 which indicates that the chaoshas occurred and the movement of the vehicle has the

characteristics of a nonlinear dynamic behavior The Lya-punov exponent spectrum corresponding to 119896 = minus55 isgiven in Figure 11(b) It is relatively easy to find that thesystem has a positive Lyapunov exponent and three negativeLyapunov exponents suggesting that the system is in a four-dimensional chaotic state

The motion state of the system is presented in Figure 12After the launch of the supercavitating vehicle the four

10 Shock and Vibration

system state variables namely 119911119908 120579 and 119902 are in the intensenonperiodic oscillating stateThus the vehicle in motion willexperience instability

It can be observed fromFigures 12(e) and 12(f) that withinthe time range of [1 2] (values in 119904) the fin of the vehicleis continuously into contact with the cavity wall under theaction of gravity and produces the planing forceThe planingforce increases gradually with the increase of immersiondepth and the vehicle will rebound inside the cavity whichresults in the loss of the planing force The above actionsrepeat subsequently and the planing force oscillates Theexistence of the planing force will cause vibration and impactto the vehicle resulting in the loss of stability of the vehicleTherefore precise control must be exerted on the vehicle toavoid the above situations [16 17]

5 Conclusions

Thenonlinear dynamic characteristicmovement states underdifferent control parameters of the supercavitating vehiclewere analyzed based on a four-dimensional dynamical modelof the vehicle The following conclusions have been mainlyderived

(1) The movement trajectories of the supercavitatingvehicle have complicated dynamical behavior thesystem will experience Hopf bifurcation periodicalwindows chaos and other nonlinear phenomenawhen the control parameters vary

(2) The movement state of the vehicle under differentcontrol parameters was numerically and preciselyanalyzed according to the phase trajectory diagramthe bifurcation diagram and the Lyapunov exponen-tial spectrum

(3) Most importantly the authors were the first tofind that the range of parameters of the vehicle inany movement state can be determined by a two-dimensional bifurcation diagram The importance ofselecting appropriate control parameters to realize thestable navigation of the supercavitating vehicle wasdemonstrated

It is believed that the work presented in this paper is ofgreat importance for further studies on the stable controlof the underwater supercavitating vehicles especially forengineering practice

Competing Interests

The authors declare that there is no conflict of interestsregarding the publication of this paper

Acknowledgments

This work is supported by the National Natural ScienceFoundation of China (nos 11472163 11402116 and 61473340)

References

[1] G Wang and M Ostoja-Starzewski ldquoLarge eddy simulationof a sheetcloud cavitation on a NACA0015 hydrofoilrdquo AppliedMathematical Modelling vol 31 no 3 pp 417ndash447 2007

[2] Q T Li Y S He and L P Xue ldquoA numerical simulationof pitching motion of the ventilated supercaviting vehicleapproximately its frontrdquo Chinese Journal of Hydrodynamics vol26 no 6 pp 589ndash685 2011

[3] A K Singhal M M Athavale H Li and Y Jiang ldquoMathemati-cal basis and validation of the full cavitation modelrdquo Journal ofFluids Engineering vol 124 no 3 pp 617ndash624 2002

[4] Y N Savchenko ldquoSupercavitation problems and perspectivesrdquoin Proceedings of the 4th International Symposium onCavitationPasadena Calif USA April 2001

[5] M A Hassouneh and E H Abed ldquoLyapunov and LMI analysisand feedback control of border collision bifurcationsrdquo Nonlin-ear Dynamics vol 50 no 3 pp 373ndash386 2007

[6] Y J Wei J H Wang J Z Zhang W Cao and W H HuangldquoNonlinear dynamics and control of underwater supercavitat-ing vehiclerdquo Journal of Vibration And Shock vol 28 no 6 pp179ndash204 2009

[7] S S Kulkarni and R Pratap ldquoStudies on the dynamics ofa supercavitating projectilerdquo Applied Mathematical Modellingvol 24 no 2 pp 113ndash129 2000

[8] J-Y Choi M Ruzzene and O A Bauchau ldquoDynamic anal-ysis of flexible supercavitating vehicles using modal-basedelementsrdquo Simulation vol 80 no 11 pp 619ndash633 2004

[9] B Feeny ldquoA nonsmooth Coulomb friction oscillatorrdquo Physica DNonlinear Phenomena vol 59 no 1ndash3 pp 25ndash38 1992

[10] A D Vasin and E V Paryshev ldquoImmersion of cylinder in a fluidthrough a cylindrical free surfacerdquo Fluid Dynamics vol 36 no2 pp 169ndash177 2001

[11] G Lin B Balachandran and E Abed ldquoSupercavitating bodydynamics bifurcations and controlrdquo in Proceedings of theAmerican Control Conference (ACC rsquo05) pp 691ndash696 PortlandOre USA June 2005

[12] J Dzielski and A Kurdila ldquoA benchmark control problemfor supercavitating vehicles and an initial investigation ofsolutionsrdquo Journal of Vibration amp Control vol 9 no 7 pp 791ndash804 2003

[13] G J Lin B Balakumar and H A Eysd ldquoBifurcation behaviorof a supercavitating vehiclerdquo in Proceedings of the ASMEInternational Mechanical Engineering Congress and Expositionpp 293ndash300 Chicago Ill USA November 2006

[14] G J Lin B Balachandran and E H Abed ldquoDynamics andcontrol of supercavitating vehiclesrdquo Journal of Dynamic SystemsMeasurement and Control vol 130 no 2 Article ID 021003 pp281ndash287 2008

[15] M A Hassouneh V Nguyen B Balachandran and E HAbed ldquoStability analysis and control of supercavitating vehicleswith advection delayrdquo Journal of Computational and NonlinearDynamics vol 8 no 2 Article ID 021003 2012

[16] G Lin B Balachandran and E H Abed ldquoNonlinear dynamicsand bifurcations of a supercavitating vehiclerdquo IEEE Journal ofOceanic Engineering vol 32 no 4 pp 753ndash761 2007

[17] J H Wang Y J Wei and K P Yu ldquoModeling and control ofunderwater supercavitating vehicle based on memory effect ofcavityrdquo Journal of Vibration And Shock vol 29 no 8 pp 160ndash163 2010

International Journal of

AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

RoboticsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Active and Passive Electronic Components

Control Scienceand Engineering

Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of

RotatingMachinery

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporation httpwwwhindawicom

Journal ofEngineeringVolume 2014

Submit your manuscripts athttpwwwhindawicom

VLSI Design

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Shock and Vibration

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Civil EngineeringAdvances in

Acoustics and VibrationAdvances in

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Electrical and Computer Engineering

Journal of

Advances inOptoElectronics

Hindawi Publishing Corporation httpwwwhindawicom

Volume 2014

The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014

SensorsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Chemical EngineeringInternational Journal of Antennas and

Propagation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Navigation and Observation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

DistributedSensor Networks

International Journal of

Page 8: Research Article Research on the Numerical Simulation of ...downloads.hindawi.com/journals/sv/2016/8268071.pdf · Research on the Numerical Simulation of the Nonlinear Dynamics of

8 Shock and Vibration

minus04 minus02 0 02 04 06minus20

minus10

0

10

20

q (rads)

w(m

middotsminus1)

(a)

0 5 10 15

minus100

minus80

minus60

minus40

minus20

0

20

Lyap

unov

expo

nent

spec

trum

t (s)

(b)

Figure 11 (a) Phase trajectory diagram in 119908 minus 120579 plane when 119896 = minus55 and (b) Lyapunov exponent spectrum

When 119896 is approximately 856 the periodic state endsand the system is in the divergent state The correspondingmagnified part in Figure 5 for minus80 lt 119896 lt minus50 is givenin Figure 6 which indicates that the system changes from aperiodic state into a chaotic state when 119896 = minus779

When 119896 is approximately minus7754 the tangent bifurcationoccurs leading to an intermittent chaos and forming theperiod-3 windows and then three stable periodic trajectories

The period doubling bifurcations occur for the threetrajectories when 119896 is approximately minus77 minus7616 or minus755When 119896 is approximately minus746 the secondary chaotic bandand the unstable periodic trajectories converge into chaos

When 119896 is approximately minus7358 the tangent bifurcationoccurs The system suddenly switches from chaotic state toperiodic state and the period-three windows forms With theoccurrence of a series of period doubling bifurcation thesystem enters into the chaotic state again when 119896 is betweenminus7118 andminus5264 uponwhich the system switches back fromthe chaotic state to the periodic state

4 Movement Characteristic Analysis of theUnderwater Supercavitating Vehicle

When the system of the supercavitating vehicle is not con-trolled the movement state of the system is unstable [12 14]To investigate its movement characteristics alone accordingto the two-dimensional bifurcation diagram the rest of theparameters of the system should be kept constant Assumingthat 120590 is equal to 00315 the feedback control laws 120575

119888=

15119911 minus 30120579 minus 03119902 and 120575119890= minus2195119911 which corresponds to

the point (00315 minus2195) in the red stable movement area inFigure 2Thephase trajectory diagram is shown in Figure 7(a)when the control gain of the fin deflection angle 119896 is equal tominus2195

It can be observed that when 119896 = minus2195 the phasetrajectory of the system gradually stabilizes at an equilibriumpointThe Lyapunov exponent spectrum as a function of time

is presented in Figure 7(b) in which the values of the largestLyapunov exponent curve are negative within a finite time

The motion state of the supercavitating vehicle is pre-sented in Figure 8 inwhich the system state variables namelythe vertical position 119911 the transverse speed119908 the pitch angle120579 and the pitch rate 119902 are attracted to the equilibrium point(00047 00866 00012 0) with less settling time under thecontrol of the law of stable movement

Figures 8(e) and 8(f) demonstrate that the immersiondepth ℎ

1015840 of the fin and the corresponding planing force 119865119901

are both 0 This indicates that the fin is inside the cavity anddoes not have any contact with the cavity the vehicle is in astable navigation state

When 120590 is equal to 00315 the feedback control laws are120575119888= 15119911 minus 30120579 minus 03119902 and 120575

119890= 3119911 which corresponds to the

point (00315 3) in the green periodic oscillation region inFigure 2

Figure 9(a) tells us that the phase trajectory is a limitcycle with period 2 when the control gain of the fin deflectionangle 119896 is equal to 3 The Lyapunov exponent spectrumcorresponding to 119896 = 3 is shown in Figure 9(b) It is notdifficult to find that the system approximately has a zeroLyapunov exponent and three negative Lyapunov exponents

The motion state of the supercavitating vehicle is shownin Figure 10 in which the system state variables namelythe vertical position 119911 the transverse speed119908 the pitch angle120579 and the pitch rate velocity 119902 oscillate periodically at theequilibrium point (00416 13937 00190 0)

The immersion depth ℎ1015840 of the fin oscillates periodically

in the range of [0 006] (in m) which indicates that thevehicle continuously collides with the cavity wall

The fin is inside the cavity at times and does not come incontact with the cavity which results in zero planing force119865119901 The fin penetrates the cavity into the water at times

and produces the planing force oscillating periodically in therange of [0 48] (in N) The above actions repeat again andagain and such phenomenon is referred to as ldquofin attackphenomenonrdquo It also indicates that the vehicle is in anunstable periodic oscillating state

Shock and Vibration 9

0 05 10minus006

minus004

minus002

0

002

004

006

008

010

z(m

)

t (s)

(a) Vertical position

0 05 10t (s)

minus3

minus2

minus1

0

1

2

3

w(m

middotsminus1)

(b) Transverse speed

0 05 10minus0004

minus0002

0

0002

0004

t (s)

120579(r

ad)

(c) Pitch angle

0 05 10minus10

minus05

0

05

10

t (s)

q(r

ads

)

(d) Pitch rate

0 05 10minus002

0

002

004

006

008

t (s)

hp

(m)

(e) Immersion depth

0 05 10minus60

minus40

minus20

0

20

40

60

80

t (s)

Fp

(N)

(f) Planing force

Figure 12 The motion state of the system when 119896 = 55

When 120590 is equal to 00315 the feedback control laws of120575119888= 15119911 minus 30120579 minus 03119902 and 120575

119890= minus55119911 are selected which

corresponds to the point (00315 minus55) in the yellow chaoticarea in Figure 2

Figure 11(a) demonstrates that the phase trajectory is achaotic attractor when the control gain of the fin deflectionangle 119896 is equal to minus55 which indicates that the chaoshas occurred and the movement of the vehicle has the

characteristics of a nonlinear dynamic behavior The Lya-punov exponent spectrum corresponding to 119896 = minus55 isgiven in Figure 11(b) It is relatively easy to find that thesystem has a positive Lyapunov exponent and three negativeLyapunov exponents suggesting that the system is in a four-dimensional chaotic state

The motion state of the system is presented in Figure 12After the launch of the supercavitating vehicle the four

10 Shock and Vibration

system state variables namely 119911119908 120579 and 119902 are in the intensenonperiodic oscillating stateThus the vehicle in motion willexperience instability

It can be observed fromFigures 12(e) and 12(f) that withinthe time range of [1 2] (values in 119904) the fin of the vehicleis continuously into contact with the cavity wall under theaction of gravity and produces the planing forceThe planingforce increases gradually with the increase of immersiondepth and the vehicle will rebound inside the cavity whichresults in the loss of the planing force The above actionsrepeat subsequently and the planing force oscillates Theexistence of the planing force will cause vibration and impactto the vehicle resulting in the loss of stability of the vehicleTherefore precise control must be exerted on the vehicle toavoid the above situations [16 17]

5 Conclusions

Thenonlinear dynamic characteristicmovement states underdifferent control parameters of the supercavitating vehiclewere analyzed based on a four-dimensional dynamical modelof the vehicle The following conclusions have been mainlyderived

(1) The movement trajectories of the supercavitatingvehicle have complicated dynamical behavior thesystem will experience Hopf bifurcation periodicalwindows chaos and other nonlinear phenomenawhen the control parameters vary

(2) The movement state of the vehicle under differentcontrol parameters was numerically and preciselyanalyzed according to the phase trajectory diagramthe bifurcation diagram and the Lyapunov exponen-tial spectrum

(3) Most importantly the authors were the first tofind that the range of parameters of the vehicle inany movement state can be determined by a two-dimensional bifurcation diagram The importance ofselecting appropriate control parameters to realize thestable navigation of the supercavitating vehicle wasdemonstrated

It is believed that the work presented in this paper is ofgreat importance for further studies on the stable controlof the underwater supercavitating vehicles especially forengineering practice

Competing Interests

The authors declare that there is no conflict of interestsregarding the publication of this paper

Acknowledgments

This work is supported by the National Natural ScienceFoundation of China (nos 11472163 11402116 and 61473340)

References

[1] G Wang and M Ostoja-Starzewski ldquoLarge eddy simulationof a sheetcloud cavitation on a NACA0015 hydrofoilrdquo AppliedMathematical Modelling vol 31 no 3 pp 417ndash447 2007

[2] Q T Li Y S He and L P Xue ldquoA numerical simulationof pitching motion of the ventilated supercaviting vehicleapproximately its frontrdquo Chinese Journal of Hydrodynamics vol26 no 6 pp 589ndash685 2011

[3] A K Singhal M M Athavale H Li and Y Jiang ldquoMathemati-cal basis and validation of the full cavitation modelrdquo Journal ofFluids Engineering vol 124 no 3 pp 617ndash624 2002

[4] Y N Savchenko ldquoSupercavitation problems and perspectivesrdquoin Proceedings of the 4th International Symposium onCavitationPasadena Calif USA April 2001

[5] M A Hassouneh and E H Abed ldquoLyapunov and LMI analysisand feedback control of border collision bifurcationsrdquo Nonlin-ear Dynamics vol 50 no 3 pp 373ndash386 2007

[6] Y J Wei J H Wang J Z Zhang W Cao and W H HuangldquoNonlinear dynamics and control of underwater supercavitat-ing vehiclerdquo Journal of Vibration And Shock vol 28 no 6 pp179ndash204 2009

[7] S S Kulkarni and R Pratap ldquoStudies on the dynamics ofa supercavitating projectilerdquo Applied Mathematical Modellingvol 24 no 2 pp 113ndash129 2000

[8] J-Y Choi M Ruzzene and O A Bauchau ldquoDynamic anal-ysis of flexible supercavitating vehicles using modal-basedelementsrdquo Simulation vol 80 no 11 pp 619ndash633 2004

[9] B Feeny ldquoA nonsmooth Coulomb friction oscillatorrdquo Physica DNonlinear Phenomena vol 59 no 1ndash3 pp 25ndash38 1992

[10] A D Vasin and E V Paryshev ldquoImmersion of cylinder in a fluidthrough a cylindrical free surfacerdquo Fluid Dynamics vol 36 no2 pp 169ndash177 2001

[11] G Lin B Balachandran and E Abed ldquoSupercavitating bodydynamics bifurcations and controlrdquo in Proceedings of theAmerican Control Conference (ACC rsquo05) pp 691ndash696 PortlandOre USA June 2005

[12] J Dzielski and A Kurdila ldquoA benchmark control problemfor supercavitating vehicles and an initial investigation ofsolutionsrdquo Journal of Vibration amp Control vol 9 no 7 pp 791ndash804 2003

[13] G J Lin B Balakumar and H A Eysd ldquoBifurcation behaviorof a supercavitating vehiclerdquo in Proceedings of the ASMEInternational Mechanical Engineering Congress and Expositionpp 293ndash300 Chicago Ill USA November 2006

[14] G J Lin B Balachandran and E H Abed ldquoDynamics andcontrol of supercavitating vehiclesrdquo Journal of Dynamic SystemsMeasurement and Control vol 130 no 2 Article ID 021003 pp281ndash287 2008

[15] M A Hassouneh V Nguyen B Balachandran and E HAbed ldquoStability analysis and control of supercavitating vehicleswith advection delayrdquo Journal of Computational and NonlinearDynamics vol 8 no 2 Article ID 021003 2012

[16] G Lin B Balachandran and E H Abed ldquoNonlinear dynamicsand bifurcations of a supercavitating vehiclerdquo IEEE Journal ofOceanic Engineering vol 32 no 4 pp 753ndash761 2007

[17] J H Wang Y J Wei and K P Yu ldquoModeling and control ofunderwater supercavitating vehicle based on memory effect ofcavityrdquo Journal of Vibration And Shock vol 29 no 8 pp 160ndash163 2010

International Journal of

AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

RoboticsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Active and Passive Electronic Components

Control Scienceand Engineering

Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of

RotatingMachinery

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporation httpwwwhindawicom

Journal ofEngineeringVolume 2014

Submit your manuscripts athttpwwwhindawicom

VLSI Design

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Shock and Vibration

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Civil EngineeringAdvances in

Acoustics and VibrationAdvances in

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Electrical and Computer Engineering

Journal of

Advances inOptoElectronics

Hindawi Publishing Corporation httpwwwhindawicom

Volume 2014

The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014

SensorsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Chemical EngineeringInternational Journal of Antennas and

Propagation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Navigation and Observation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

DistributedSensor Networks

International Journal of

Page 9: Research Article Research on the Numerical Simulation of ...downloads.hindawi.com/journals/sv/2016/8268071.pdf · Research on the Numerical Simulation of the Nonlinear Dynamics of

Shock and Vibration 9

0 05 10minus006

minus004

minus002

0

002

004

006

008

010

z(m

)

t (s)

(a) Vertical position

0 05 10t (s)

minus3

minus2

minus1

0

1

2

3

w(m

middotsminus1)

(b) Transverse speed

0 05 10minus0004

minus0002

0

0002

0004

t (s)

120579(r

ad)

(c) Pitch angle

0 05 10minus10

minus05

0

05

10

t (s)

q(r

ads

)

(d) Pitch rate

0 05 10minus002

0

002

004

006

008

t (s)

hp

(m)

(e) Immersion depth

0 05 10minus60

minus40

minus20

0

20

40

60

80

t (s)

Fp

(N)

(f) Planing force

Figure 12 The motion state of the system when 119896 = 55

When 120590 is equal to 00315 the feedback control laws of120575119888= 15119911 minus 30120579 minus 03119902 and 120575

119890= minus55119911 are selected which

corresponds to the point (00315 minus55) in the yellow chaoticarea in Figure 2

Figure 11(a) demonstrates that the phase trajectory is achaotic attractor when the control gain of the fin deflectionangle 119896 is equal to minus55 which indicates that the chaoshas occurred and the movement of the vehicle has the

characteristics of a nonlinear dynamic behavior The Lya-punov exponent spectrum corresponding to 119896 = minus55 isgiven in Figure 11(b) It is relatively easy to find that thesystem has a positive Lyapunov exponent and three negativeLyapunov exponents suggesting that the system is in a four-dimensional chaotic state

The motion state of the system is presented in Figure 12After the launch of the supercavitating vehicle the four

10 Shock and Vibration

system state variables namely 119911119908 120579 and 119902 are in the intensenonperiodic oscillating stateThus the vehicle in motion willexperience instability

It can be observed fromFigures 12(e) and 12(f) that withinthe time range of [1 2] (values in 119904) the fin of the vehicleis continuously into contact with the cavity wall under theaction of gravity and produces the planing forceThe planingforce increases gradually with the increase of immersiondepth and the vehicle will rebound inside the cavity whichresults in the loss of the planing force The above actionsrepeat subsequently and the planing force oscillates Theexistence of the planing force will cause vibration and impactto the vehicle resulting in the loss of stability of the vehicleTherefore precise control must be exerted on the vehicle toavoid the above situations [16 17]

5 Conclusions

Thenonlinear dynamic characteristicmovement states underdifferent control parameters of the supercavitating vehiclewere analyzed based on a four-dimensional dynamical modelof the vehicle The following conclusions have been mainlyderived

(1) The movement trajectories of the supercavitatingvehicle have complicated dynamical behavior thesystem will experience Hopf bifurcation periodicalwindows chaos and other nonlinear phenomenawhen the control parameters vary

(2) The movement state of the vehicle under differentcontrol parameters was numerically and preciselyanalyzed according to the phase trajectory diagramthe bifurcation diagram and the Lyapunov exponen-tial spectrum

(3) Most importantly the authors were the first tofind that the range of parameters of the vehicle inany movement state can be determined by a two-dimensional bifurcation diagram The importance ofselecting appropriate control parameters to realize thestable navigation of the supercavitating vehicle wasdemonstrated

It is believed that the work presented in this paper is ofgreat importance for further studies on the stable controlof the underwater supercavitating vehicles especially forengineering practice

Competing Interests

The authors declare that there is no conflict of interestsregarding the publication of this paper

Acknowledgments

This work is supported by the National Natural ScienceFoundation of China (nos 11472163 11402116 and 61473340)

References

[1] G Wang and M Ostoja-Starzewski ldquoLarge eddy simulationof a sheetcloud cavitation on a NACA0015 hydrofoilrdquo AppliedMathematical Modelling vol 31 no 3 pp 417ndash447 2007

[2] Q T Li Y S He and L P Xue ldquoA numerical simulationof pitching motion of the ventilated supercaviting vehicleapproximately its frontrdquo Chinese Journal of Hydrodynamics vol26 no 6 pp 589ndash685 2011

[3] A K Singhal M M Athavale H Li and Y Jiang ldquoMathemati-cal basis and validation of the full cavitation modelrdquo Journal ofFluids Engineering vol 124 no 3 pp 617ndash624 2002

[4] Y N Savchenko ldquoSupercavitation problems and perspectivesrdquoin Proceedings of the 4th International Symposium onCavitationPasadena Calif USA April 2001

[5] M A Hassouneh and E H Abed ldquoLyapunov and LMI analysisand feedback control of border collision bifurcationsrdquo Nonlin-ear Dynamics vol 50 no 3 pp 373ndash386 2007

[6] Y J Wei J H Wang J Z Zhang W Cao and W H HuangldquoNonlinear dynamics and control of underwater supercavitat-ing vehiclerdquo Journal of Vibration And Shock vol 28 no 6 pp179ndash204 2009

[7] S S Kulkarni and R Pratap ldquoStudies on the dynamics ofa supercavitating projectilerdquo Applied Mathematical Modellingvol 24 no 2 pp 113ndash129 2000

[8] J-Y Choi M Ruzzene and O A Bauchau ldquoDynamic anal-ysis of flexible supercavitating vehicles using modal-basedelementsrdquo Simulation vol 80 no 11 pp 619ndash633 2004

[9] B Feeny ldquoA nonsmooth Coulomb friction oscillatorrdquo Physica DNonlinear Phenomena vol 59 no 1ndash3 pp 25ndash38 1992

[10] A D Vasin and E V Paryshev ldquoImmersion of cylinder in a fluidthrough a cylindrical free surfacerdquo Fluid Dynamics vol 36 no2 pp 169ndash177 2001

[11] G Lin B Balachandran and E Abed ldquoSupercavitating bodydynamics bifurcations and controlrdquo in Proceedings of theAmerican Control Conference (ACC rsquo05) pp 691ndash696 PortlandOre USA June 2005

[12] J Dzielski and A Kurdila ldquoA benchmark control problemfor supercavitating vehicles and an initial investigation ofsolutionsrdquo Journal of Vibration amp Control vol 9 no 7 pp 791ndash804 2003

[13] G J Lin B Balakumar and H A Eysd ldquoBifurcation behaviorof a supercavitating vehiclerdquo in Proceedings of the ASMEInternational Mechanical Engineering Congress and Expositionpp 293ndash300 Chicago Ill USA November 2006

[14] G J Lin B Balachandran and E H Abed ldquoDynamics andcontrol of supercavitating vehiclesrdquo Journal of Dynamic SystemsMeasurement and Control vol 130 no 2 Article ID 021003 pp281ndash287 2008

[15] M A Hassouneh V Nguyen B Balachandran and E HAbed ldquoStability analysis and control of supercavitating vehicleswith advection delayrdquo Journal of Computational and NonlinearDynamics vol 8 no 2 Article ID 021003 2012

[16] G Lin B Balachandran and E H Abed ldquoNonlinear dynamicsand bifurcations of a supercavitating vehiclerdquo IEEE Journal ofOceanic Engineering vol 32 no 4 pp 753ndash761 2007

[17] J H Wang Y J Wei and K P Yu ldquoModeling and control ofunderwater supercavitating vehicle based on memory effect ofcavityrdquo Journal of Vibration And Shock vol 29 no 8 pp 160ndash163 2010

International Journal of

AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

RoboticsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Active and Passive Electronic Components

Control Scienceand Engineering

Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of

RotatingMachinery

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporation httpwwwhindawicom

Journal ofEngineeringVolume 2014

Submit your manuscripts athttpwwwhindawicom

VLSI Design

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Shock and Vibration

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Civil EngineeringAdvances in

Acoustics and VibrationAdvances in

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Electrical and Computer Engineering

Journal of

Advances inOptoElectronics

Hindawi Publishing Corporation httpwwwhindawicom

Volume 2014

The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014

SensorsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Chemical EngineeringInternational Journal of Antennas and

Propagation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Navigation and Observation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

DistributedSensor Networks

International Journal of

Page 10: Research Article Research on the Numerical Simulation of ...downloads.hindawi.com/journals/sv/2016/8268071.pdf · Research on the Numerical Simulation of the Nonlinear Dynamics of

10 Shock and Vibration

system state variables namely 119911119908 120579 and 119902 are in the intensenonperiodic oscillating stateThus the vehicle in motion willexperience instability

It can be observed fromFigures 12(e) and 12(f) that withinthe time range of [1 2] (values in 119904) the fin of the vehicleis continuously into contact with the cavity wall under theaction of gravity and produces the planing forceThe planingforce increases gradually with the increase of immersiondepth and the vehicle will rebound inside the cavity whichresults in the loss of the planing force The above actionsrepeat subsequently and the planing force oscillates Theexistence of the planing force will cause vibration and impactto the vehicle resulting in the loss of stability of the vehicleTherefore precise control must be exerted on the vehicle toavoid the above situations [16 17]

5 Conclusions

Thenonlinear dynamic characteristicmovement states underdifferent control parameters of the supercavitating vehiclewere analyzed based on a four-dimensional dynamical modelof the vehicle The following conclusions have been mainlyderived

(1) The movement trajectories of the supercavitatingvehicle have complicated dynamical behavior thesystem will experience Hopf bifurcation periodicalwindows chaos and other nonlinear phenomenawhen the control parameters vary

(2) The movement state of the vehicle under differentcontrol parameters was numerically and preciselyanalyzed according to the phase trajectory diagramthe bifurcation diagram and the Lyapunov exponen-tial spectrum

(3) Most importantly the authors were the first tofind that the range of parameters of the vehicle inany movement state can be determined by a two-dimensional bifurcation diagram The importance ofselecting appropriate control parameters to realize thestable navigation of the supercavitating vehicle wasdemonstrated

It is believed that the work presented in this paper is ofgreat importance for further studies on the stable controlof the underwater supercavitating vehicles especially forengineering practice

Competing Interests

The authors declare that there is no conflict of interestsregarding the publication of this paper

Acknowledgments

This work is supported by the National Natural ScienceFoundation of China (nos 11472163 11402116 and 61473340)

References

[1] G Wang and M Ostoja-Starzewski ldquoLarge eddy simulationof a sheetcloud cavitation on a NACA0015 hydrofoilrdquo AppliedMathematical Modelling vol 31 no 3 pp 417ndash447 2007

[2] Q T Li Y S He and L P Xue ldquoA numerical simulationof pitching motion of the ventilated supercaviting vehicleapproximately its frontrdquo Chinese Journal of Hydrodynamics vol26 no 6 pp 589ndash685 2011

[3] A K Singhal M M Athavale H Li and Y Jiang ldquoMathemati-cal basis and validation of the full cavitation modelrdquo Journal ofFluids Engineering vol 124 no 3 pp 617ndash624 2002

[4] Y N Savchenko ldquoSupercavitation problems and perspectivesrdquoin Proceedings of the 4th International Symposium onCavitationPasadena Calif USA April 2001

[5] M A Hassouneh and E H Abed ldquoLyapunov and LMI analysisand feedback control of border collision bifurcationsrdquo Nonlin-ear Dynamics vol 50 no 3 pp 373ndash386 2007

[6] Y J Wei J H Wang J Z Zhang W Cao and W H HuangldquoNonlinear dynamics and control of underwater supercavitat-ing vehiclerdquo Journal of Vibration And Shock vol 28 no 6 pp179ndash204 2009

[7] S S Kulkarni and R Pratap ldquoStudies on the dynamics ofa supercavitating projectilerdquo Applied Mathematical Modellingvol 24 no 2 pp 113ndash129 2000

[8] J-Y Choi M Ruzzene and O A Bauchau ldquoDynamic anal-ysis of flexible supercavitating vehicles using modal-basedelementsrdquo Simulation vol 80 no 11 pp 619ndash633 2004

[9] B Feeny ldquoA nonsmooth Coulomb friction oscillatorrdquo Physica DNonlinear Phenomena vol 59 no 1ndash3 pp 25ndash38 1992

[10] A D Vasin and E V Paryshev ldquoImmersion of cylinder in a fluidthrough a cylindrical free surfacerdquo Fluid Dynamics vol 36 no2 pp 169ndash177 2001

[11] G Lin B Balachandran and E Abed ldquoSupercavitating bodydynamics bifurcations and controlrdquo in Proceedings of theAmerican Control Conference (ACC rsquo05) pp 691ndash696 PortlandOre USA June 2005

[12] J Dzielski and A Kurdila ldquoA benchmark control problemfor supercavitating vehicles and an initial investigation ofsolutionsrdquo Journal of Vibration amp Control vol 9 no 7 pp 791ndash804 2003

[13] G J Lin B Balakumar and H A Eysd ldquoBifurcation behaviorof a supercavitating vehiclerdquo in Proceedings of the ASMEInternational Mechanical Engineering Congress and Expositionpp 293ndash300 Chicago Ill USA November 2006

[14] G J Lin B Balachandran and E H Abed ldquoDynamics andcontrol of supercavitating vehiclesrdquo Journal of Dynamic SystemsMeasurement and Control vol 130 no 2 Article ID 021003 pp281ndash287 2008

[15] M A Hassouneh V Nguyen B Balachandran and E HAbed ldquoStability analysis and control of supercavitating vehicleswith advection delayrdquo Journal of Computational and NonlinearDynamics vol 8 no 2 Article ID 021003 2012

[16] G Lin B Balachandran and E H Abed ldquoNonlinear dynamicsand bifurcations of a supercavitating vehiclerdquo IEEE Journal ofOceanic Engineering vol 32 no 4 pp 753ndash761 2007

[17] J H Wang Y J Wei and K P Yu ldquoModeling and control ofunderwater supercavitating vehicle based on memory effect ofcavityrdquo Journal of Vibration And Shock vol 29 no 8 pp 160ndash163 2010

International Journal of

AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

RoboticsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Active and Passive Electronic Components

Control Scienceand Engineering

Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of

RotatingMachinery

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporation httpwwwhindawicom

Journal ofEngineeringVolume 2014

Submit your manuscripts athttpwwwhindawicom

VLSI Design

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Shock and Vibration

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Civil EngineeringAdvances in

Acoustics and VibrationAdvances in

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Electrical and Computer Engineering

Journal of

Advances inOptoElectronics

Hindawi Publishing Corporation httpwwwhindawicom

Volume 2014

The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014

SensorsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Chemical EngineeringInternational Journal of Antennas and

Propagation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Navigation and Observation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

DistributedSensor Networks

International Journal of

Page 11: Research Article Research on the Numerical Simulation of ...downloads.hindawi.com/journals/sv/2016/8268071.pdf · Research on the Numerical Simulation of the Nonlinear Dynamics of

International Journal of

AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

RoboticsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Active and Passive Electronic Components

Control Scienceand Engineering

Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of

RotatingMachinery

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporation httpwwwhindawicom

Journal ofEngineeringVolume 2014

Submit your manuscripts athttpwwwhindawicom

VLSI Design

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Shock and Vibration

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Civil EngineeringAdvances in

Acoustics and VibrationAdvances in

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Electrical and Computer Engineering

Journal of

Advances inOptoElectronics

Hindawi Publishing Corporation httpwwwhindawicom

Volume 2014

The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014

SensorsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Chemical EngineeringInternational Journal of Antennas and

Propagation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Navigation and Observation

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

DistributedSensor Networks

International Journal of


Recommended