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Mechanical System Modeling K. Craig 1 Mechanical System Modeling Dr. Kevin Craig Professor of Mechanical Engineering Rensselaer Polytechnic Institute
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Page 1: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 1

Mechanical System Modeling

Dr. Kevin CraigProfessor of Mechanical Engineering

Rensselaer Polytechnic Institute

Page 2: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 2

References for Mechanical Systems

• System Dynamics, E. Doebelin, Marcel Dekker, 1998. (This is the finest reference on system dynamics available; many figures in these notes are taken from this reference.)

• Modeling, Analysis, and Control of Dynamic Systems, W. Palm, 2nd Edition, Wiley, 1999.

• Vector Mechanics for Engineers: Dynamics, 7th

Edition, F. Beer, E.R. Johnston, and W. Clausen, McGraw Hill, 2004.

Page 3: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 3

Mechanical System Elements

• Three basic mechanical elements:– Spring (elastic) element– Damper (frictional) element– Mass (inertia) element

• Translational and Rotational versions• These are passive (non-energy producing) devices• Driving Inputs

– force and motion sources which cause elements to respond

Page 4: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 4

• Each of the elements has one of two possible energy behaviors:– stores all the energy supplied to it– dissipates all energy into heat by some kind of

“frictional” effect• Spring stores energy as potential energy• Mass stores energy as kinetic energy• Damper dissipates energy into heat

• Dynamic Response of each element is important– step response– frequency response

Page 5: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 5

Spring Element• Real-world design situations• Real-world spring is neither pure nor ideal• Real-world spring has inertia and friction• Pure spring has only elasticity - it is a

mathematical model, not a real device• Some dynamic operation requires that spring

inertia and/or damping not be neglected• Ideal spring: linear• Nonlinear behavior may often be preferable and

give significant performance advantages

Page 6: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 6

• Device can be pure without being ideal (e.g., nonlinear spring with no inertia or damping)

• Device can be ideal without being pure (e.g., device which exhibits both linear springiness and linear damping)

• Pure and ideal spring element:

• Ks = spring stiffness (N/m or N-m/rad)• 1/Ks = Cs = compliance (softness parameter)

( )( )

s 1 2 s

s 1 2 s

f K x x K x

T K K

= − =

= θ −θ = θ

s

s

x C fC T

=θ =

Ksx f f xCs

Page 7: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 7

• Energy stored in a spring

• Dynamic Response: Zero-Order Dynamic System Model– Step Response– Frequency Response

• Real springs will not behave exactly like the pure/ideal element. One of the best ways to measure this deviation is through frequency response.

2 2s s

sC f K xE

2 2= =

Page 8: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 8

Spring Element

( ) ( )

( )0

s

2 2x s 0 s 0s0

Differential Work Done f dx K x dxTotal Work Done

K x C f K x dx2 2

= =

= = =∫

Page 9: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 9

Frequency ResponseOf

Spring Elements

( )( )

0

s 0

f f sin t

x C f sin t

= ω

= ω

Page 10: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 10

Zero-Order Dynamic System Model

Step Response Frequency Response

Page 11: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 11

More Realistic Lumped-Parameter Model for a Spring

Ks Ks

M

B B

f, x

Page 12: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 12

Linearization for a

Nonlinear Spring

( ) ( )

( )

0 0

0

220

0 0 2x x x x

0 0x x

x xdf d fy f (x ) x xdx dx 2!

dfy y x xdx

= =

=

−= + − + +

≈ + −

( )0

0 0x x

dfy y x xdx

ˆ ˆy Kx=

− ≈ + −

=

Page 13: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 13

• Real Springs– nonlinearity of the

force/deflection curve– noncoincidence of the

loading and unloading curves (The 2nd Law of Thermodynamics guarantees that the area under the loading f vs. xcurve must be greater than that under the unloading f vs. x curve. It is impossible to recover 100% of the energy put into any system.)

Page 14: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 14

• Several Types of Practical Springs:– coil spring– hydraulic (oil) spring– cantilever beam spring– pneumatic (air) spring– clamped-end beam spring– ring spring– rubber spring (shock mount)– tension rod spring– torsion bar spring

Page 15: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 15

• Spring-like Effects in Unfamiliar Forms– aerodynamic spring– gravity spring (pendulum)– gravity spring (liquid

column)– buoyancy spring– magnetic spring– electrostatic spring– centrifugal spring

Page 16: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 16

Damper Element

• A pure damper dissipates all the energy supplied to it, i.e., converts the mechanical energy to thermal energy.

• Various physical mechanisms, usually associated with some form of friction, can provide this dissipative action, e.g., – Coulomb (dry friction) damping– Material (solid) damping– Viscous damping

Page 17: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 17

• Pure / ideal damper element provides viscous friction.

• All mechanical elements are defined in terms of their force/motion relation. (Electrical elements are defined in terms of their voltage/current relations.)

• Pure / Ideal Damper– Damper force or torque is directly proportional

to the relative velocity of its two ends.

1 2dx dx dxf B Bdt dt dt

⎛ ⎞= − =⎜ ⎟⎝ ⎠

1 2d d dT B Bdt dt dtθ θ θ⎛ ⎞= − =⎜ ⎟

⎝ ⎠

Page 18: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 18

– Forces or torques on the two ends of the damper are exactly equal and opposite at all times (just like a spring); pure springs and dampers have no mass or inertia. This is NOT true for real springs and dampers.

– Units for B to preserve physical meaning:• N/(m/sec)• (N-m)/(rad/sec)

– Transfer Function

( )

22

2

2

dx d xDx D xdt dt

x x(x)dt x dt dtD D

⎡ ⎤⎣ ⎦∫ ∫ ∫

DifferentialOperatorNotation

Page 19: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 19

• Operational Transfer Functions

• We assume the initial conditions are zero.

– Damper element dissipates into heat all mechanical energy supplied to it.

• Force applied to damper causes a velocity in same direction.

f BDxT BD== θ

( ) ( )

( ) ( )

f TD BD D BDxx 1 1D Df BD T BD

θθ

( )( )2dx dxPower force velocity f B

dt dt⎛ ⎞ ⎛ ⎞= =⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠

Page 20: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 20

• Power input to the device is positive since the force and velocity have the same sign.

• It is impossible for the applied force and resulting velocity to have opposite signs.

• Thus, a damper can never supply power to another device; Power is always positive.

• A spring absorbs power and stores energy as a force is applied to it, but if the force is gradually relaxed back to zero, the external force and the velocity now have opposite signs, showing that the spring is delivering power.

• Total Energy Dissipated

( ) ( )2dx dxP dt B dt B dx f dx

dt dt⎛ ⎞ ⎛ ⎞= = =⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠∫ ∫ ∫ ∫

Page 21: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 21

Damper Element

Step Input Forcecauses instantly (a pure damper has no inertia) a

Step of dx/dtand a

Ramp of x

Page 22: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 22

Frequency Response

ofDamper

Elements

( )

( )

( )

0

t

0 00

0

f f sin tdxBdt

1x x f sin t dtBf 1 cos t

B

= ω

=

− = ω

⎡ ⎤= − ω⎣ ⎦ω

0

x

f 0

fA 1BA f B

ω= =ω

Page 23: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 23

• Sinusoidal Transfer Function

– M is the amplitude ratio of output over input– φ is the phase shift of the output sine wave with

respect to the input sine wave (positive if the output leads the input, negative if the output lags the input)

( )x 1Df BD

= D i⇒ ω ( )x 1i Mf i B

ω = = ∠φω

( )x 1 1i M 90f i B B

°ω = = ∠φ = ∠−ω ω

Page 24: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 24

• Real Dampers– A damper element is used to model a device

designed into a system (e.g., automotive shock absorbers) or for unavoidable parasitic effects (e.g., air drag).

– To be an energy-dissipating effect, a device must exert a force opposite to the velocity; power is always negative when the force and velocity have opposite directions.

– Let’s consider examples of real intentional dampers.

Page 25: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 25

Viscous (Piston/Cylinder) Damper

A relative velocity between the cylinder and piston forces the

viscous oil through the clearance space h, shearing the fluid and

creating a damping force.

2 2 22 2 1

2 13

2

6 L h R RB R R hhh 2 R2

⎡ ⎤⎡ ⎤ ⎢ ⎥πμ −⎛ ⎞= − − −⎢ ⎥⎜ ⎟ ⎢ ⎥⎝ ⎠⎢ ⎥⎣ ⎦ −⎢ ⎥

⎣ ⎦

μ = fluid viscosity

Page 26: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 26

Simple Shear DamperAnd

Viscosity Definition

fluid viscosityshearing stress F / A

velocity gradient V / t

μ

=

2AF Vt

F 2ABV t

μ=

μ= =

Page 27: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 27

Examplesof

Rotary Dampers

3D LB4t

π μ=

40DB

16tπ μ

=

Page 28: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 28

Commercial Air Damper

laminar flowlinear damping

turbulent flownonlinear damping

(Data taken with valve shut)

Air Damper• much lower viscosity• less temperature dependent• no leakage or sealing problem

Page 29: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 29

Eddy-Current Damper

• Motion of the conducting cup in the magnetic field generates a voltage in the cup.

• A current is generated in the cup’s circular path.

• A current-carrying conductor in a magnetic field experiences a force proportional to the current.

• The result is a force proportional to and opposing the velocity.

• The dissipated energy shows up as I2R heating of the cup.

Page 30: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 30

Temperature SensitivityOf

Damping Methods

Page 31: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 31

Other Examplesof

Damper Forms

Page 32: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 32

• The damper element can also be used to represent unavoidable parasitic energy dissipation effects in mechanical systems.– Frictional effects in moving parts of machines– Fluid drag on vehicles (cars, ships, aircraft, etc.)– Windage losses of rotors in machines– Hysteresis losses associated with cyclic stresses in

materials– Structural damping due to riveted joints, welds,

etc.– Air damping of vibrating structural shapes

Page 33: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 33

Hydraulic Motor Friction and its Components

Page 34: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 34

Coulomb Friction: Modeling and Simulation

• In most control systems, Coulomb friction is a nuisance.

• Coulomb friction is difficult to model and troublesome to deal with in control system design.

• It is a nonlinear phenomenon in which a force is produced that tends to oppose the motion of bodies in contact in a mechanical system.

• Undesirable effects: “hangoff” and limit cycling

Page 35: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 35

• Hangoff (or dc limit cycle) prevents the steady-state error from becoming zero with a step command input.

• Limit Cycling is behavior in which the steady-state error oscillates or hunts about zero.

• What Should the Control Engineer Do?– Minimize friction as much as possible in the design– Appraise the effect of friction in a proposed control

system design by simulation– If simulation predicts that the effect of friction is

unacceptable, you must do something about it!

Page 36: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 36

– Remedies can include simply modifying the design parameters (gains), using integral control action, or using more complex measures such as estimating the friction and canceling its effect.

– Modeling and simulation of friction should contribute significantly to improving the performance of motion control systems.

Page 37: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 37

Modeling Coulomb Friction

V

Ff

FslipFstick

"Stiction" CoulombFriction Model

Page 38: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 38

Case Study to Evaluate Friction Model

mk

Ff

V0 V

m = 0.1 kgk = 100 N/mFstick = 0.25 NFslip = 0.20 N (assumed independent of velocity)V0 = step of 0.002 m/sec at t = 0 sec

Page 39: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 39

Friction Model in Simulink

Page 40: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 40

Simulink Block Diagram

Page 41: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 41

Example with Friction Model

Page 42: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 42

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 50

0.005

0.01

0.015

0.02

0.025

time (sec)

2*po

sitio

n, v

eloc

ity, 0

.1*F

rictio

n Fo

rce

Position, Velocity, Friction Force vs. Time

Page 43: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 43

Inertia Element

• A designer rarely inserts a component for the purpose of adding inertia; the mass or inertia element often represents an undesirable effect which is unavoidable since all materials have mass.

• There are some applications in which mass itself serves a useful function, e.g., accelerometers and flywheels.

Page 44: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 44

Useful Applicationsof

Inertia

Flywheels are used as energy-storage devices or as

a means of smoothing out speed fluctuations in engines

or other machines.

Accelerometer

Page 45: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 45

– Newton’s Law defines the behavior of mass elements and refers basically to an idealized “point mass”:

– The concept of rigid body is introduced to deal with practical situations. For pure translatorymotion, every point in a rigid body has identical motion.

– Real physical bodies never display ideal rigid behavior when being accelerated.

– The pure / ideal inertia element is a model, not a real object.

( )( )forces mass acceleration=∑

Page 46: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 46

Rigid and Flexible Bodies: Definitions and Behavior

Page 47: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 47

– Newton’s Law in rotational form for bodies undergoing pure rotational motion about a single fixed axis:

– The concept of moment of inertia J also considers the rotating body to be perfectly rigid.

– Note that to completely describe the inertial properties of any rigid body requires the specification of:

• Its total mass• Location of the center of mass• 3 moments of inertia and 3 products of inertia

( )( )torques moment of inertia angular acceleration=∑

Page 48: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 48

Rotational InertiaJ (kg-m2)

( )( )( )( ) ( )

tangential forcemass acceleration

2 rL dr r

=

⎡ ⎤= π ρ α⎣ ⎦

( )R 2 2

3 2

0

R MRtotal torque 2 L r dr R L J2 2

= πρ α = π ρ = α = α∫

Page 49: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 49

Moments of InertiaFor

Some Common Shapes

Page 50: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 50

– How do we determine J for complex shapes with possibly different materials involved?

• In the design stage, where the actual part exists only on paper, estimate as well as possible!

• Once a part has been constructed, use experimental methods for measuring inertial properties. How?

Page 51: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 51

Experimental MeasurementOf

Moment of Inertia

( )2

2

2

s 2

2s

2

0 n 0

sn

nn

dtorques J Jdt

dK Jdt

Kd 0dt J

cos t ( 0)

K rad/secJ

f cycles/sec2

θ= α =

θ− θ =

θ+ θ =

θ = θ ω θ =

ω

ωπ

s22

n

KJ4 f

Page 52: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 52

– Actually the oscillation will gradually die out due to the bearing friction not being zero.

– If bearing friction were pure Coulomb friction, it can be shown that the decay envelope of the oscillations is a straight line and that friction has no effect on the frequency.

– If the friction is purely viscous, then the decay envelope is an exponential curve, and the frequency of oscillation does depend on the friction but the dependence is usually negligible for the low values of friction in typical apparatus.

Page 53: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 53

Inertia ElementReal inertias may be impure (have some

springiness and friction) but are very close to

ideal.

( ) ( )2 2

x 1 1D Df MD T JD

θ= =

Inertia Element stores energy as kinetic energy:

2 2Mv J or 2 2

ω

Page 54: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 54

– A step input force applied to a mass initially at rest causes an instantaneous jump in acceleration, a ramp change in velocity, and a parabolic change in position.

– The frequency response of the inertia element is obtained from the sinusoidal transfer function:

• At high frequency, the inertia element becomes very difficult to move.

• The phase angle shows that the displacement is in a direction opposite to the applied force.

( )( )2 2

x 1 1i 180f MM i

°ω = = ∠−ωω

Page 55: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 55

Useful Frequency Rangefor

Rigid Model of a

Real Flexible Body

A real flexible body approaches the

behavior of a rigid body if the forcing frequency

is small compared to the body’s natural

frequency.

Page 56: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 56

– Analysis:

( )

( ) ( )

i o o

2

o o i

2

o i n2 2n

i i2 2 2

o o2n n n

2AEx x ALxL

L x x x2ED 2E1 x x

Lx x1 1 1D i

Dx x i1 1 1

− = ρ

ρ+ =

⎛ ⎞+ = ω⎜ ⎟ω ρ⎝ ⎠

= ω = =⎛ ⎞ ⎛ ⎞ω ω+ + −⎜ ⎟ ⎜ ⎟ω ω ω⎝ ⎠ ⎝ ⎠

Page 57: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 57

– ωmax is the highest frequency for which the real body behaves almost like an ideal rigid body.

• Frequency response is unmatched as a technique for defining the useful range of application for all kinds of dynamic systems.

( )o2

i max

n

max n

x 1i 1.05x

1

0.308 E0.218L

ω = =⎛ ⎞ω

−⎜ ⎟ω⎝ ⎠

ω = ω =ρ

96200 cycles/minfor a 6-inch

steel rod

Page 58: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 58

Motion Transformers

• Mechanical systems often include mechanisms such as levers, gears, linkages, cams, chains, and belts.

• They all serve a common basic function, the transformation of the motion of an input member into the kinematically-related motion of an output member.

• The actual system may be simplified in many cases to a fictitious but dynamically equivalent one.

Page 59: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 59

• This is accomplished by “referring” all the elements (masses, springs, dampers) and driving inputs to a single location, which could be the input, the output, or some selected interior point of the system.

• A single equation can then be written for this equivalent system, rather than having to write several equations for the actual system.

• This process is not necessary, but often speeds the work and reduces errors.

Page 60: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 60

Motion Transformers

Gear Train Relations: θθ

m

m

m

m

NN

N

TT

NN N

′= ≡

′= ≡

2

1

1

2

1

Tm

N1

N2

θm

′Tm ′θm

Page 61: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 61

Translational Equivalentfor

A Complex System

x1, x2, θare

kinematically related

Refer all elements and inputs to the x1 location and define a fictitious

equivalent system whose motion will be the same as x1 but will include all the effects in the original system.

Page 62: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 62

– Define a single equivalent spring element which will have the same effect as the three actual springs.

– Mentally apply a static force f1 at location x1and write a torque balance equation:

( ) 1 s21 1 s1 1 1 1 s2 2

1 1

1 se 1

2

2se s1 s2 s2

1 1

x KLf L K x L x K LL L

f K x

L 1K K K KL L

⎛ ⎞= + +⎜ ⎟

⎝ ⎠=

⎡ ⎤⎛ ⎞+ +⎢ ⎥⎜ ⎟

⎢ ⎥⎝ ⎠⎣ ⎦

Page 63: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 63

– The equivalent spring constant Kse refers to a fictitious spring which, if installed at location x1, would have exactly the same effect as all the springs together in the actual system.

– To find the equivalent damper, mentally remove the inertias and springs and again apply a force f1 at x1: ( ) ( )1 1 1 1 1 2 2 2

22 1

1 1 1 1 21 1

1 e 1

2

2e 1 2 2

1 1

f L x B L x B L B

L xx B L x B BL L

f B x

L 1B B B BL L

= + + θ

= + +

=

⎡ ⎤⎛ ⎞+ +⎢ ⎥⎜ ⎟

⎢ ⎥⎝ ⎠⎣ ⎦

Page 64: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 64

– Finally, consider only the inertias present.

– While the definitions of equivalent spring and damping constants are approximate due to the assumption of small motions, the equivalent mass has an additional assumption which may be less accurate; we have treated the masses as point masses, i.e., J = ML2.

( ) ( ) ( )2 21 1 11 1 1 1 2 2

1 1 1

1 e 1

2

2e 1 2 2

1 1

x x xf L M L M L JL L L

f M x

L 1M M M JL L

≈ + +

⎡ ⎤⎛ ⎞+ +⎢ ⎥⎜ ⎟

⎢ ⎥⎝ ⎠⎣ ⎦

Page 65: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 65

– To refer the driving inputs to the x1 location we note that a torque T is equivalent to a force T/L1at the x1 location, and a force f2 is equivalent to a force (L2/L1)f2.

– If we set up the differential equation of motion for this system and solve for its unknown x1, we are guaranteed that this solution will be identical to that for x1 in the actual system.

– Once we have x1, we can get x2 and/or θimmediately since they are related to x1 by simple proportions.

Page 66: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 66

– Rules for calculating the equivalent elements without deriving them from scratch:

• When referring a translational element (spring, damper, mass) from location A to location B, where A’s motion is N times B’s, multiply the element’s value by N2. This is also true for rotational elements coupled by motion transformers such as gears, belts, and chains.

• When referring a rotational element to a translational location, multiply the rotational element by 1/R2, where the relation between translation x and rotation θ (in radians) is x = R θ. For the reverse procedure (referring a translational element to a rotational location) multiply the translational element by R2.

Page 67: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 67

• When referring a force at A to get an equivalent force at B, multiply by N (holds for torques). Multiply a torque at θ by 1/R to refer it to x as a force. A force at x is multiplied by R to refer it as a torque to θ.

– These rules apply to any mechanism, no matter what its form, as long as the motions at the two locations are linearly related.

Page 68: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 68

Mechanical Impedance

• When trying to predict the behavior of an assemblage of subsystems from their calculated or measured individual behavior, impedance methods have advantages.

• Mechanical impedance is defined as the transfer function (either operational or sinusoidal) in which force is the numerator and velocity the denominator. The inverse of impedance is called mobility.

Page 69: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 69

Mechanical Impedance for the Basic Elements

( ) ( )

( ) ( )

( ) ( )

sS

B

M

KfZ D Dv DfZ D D BvfZ D D MDv

=

=

=

Page 70: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 70

• Measurement of impedances of subsystems can be used to analytically predict the behavior of the complete system formed when the subsystems are connected. We can thus discover and correct potential design problems before the subsystems are actually connected.

• Impedance methods also provide “shortcut” analysis techniques.– When two elements carry the same force they are said

to be connected in parallel and their combined impedance is the product of the individual impedances over their sum.

Page 71: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 71

– For impedances which have the same velocity, we say they are connected in series and their combined impedance is the sum of the individual ones.

– Consider the following systems:

Parallel ConnectionSeries Connection f, v

x1, v1

B

K

K

f, v

B

Page 72: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 72

– Parallel Connection

– Series Connection

( )K Bf KBDD Kv BD KB

D

= =++

( )f K BD KD Bv D D

+= + =

Page 73: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 73

Force and Motion Sources

• The ultimate driving agency of any mechanical system is always a force not a motion; force causes acceleration, acceleration does not cause force.

• Motion does not occur without a force occurring first.

• At the input of a system, what is known, force or motion? If motion is known, then this motion was caused by some (perhaps unknown) force and postulating a problem with a motion input is acceptable.

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Mechanical System Modeling K. Craig 74

• There are only two classes of forces:– Forces associated with physical contact between two

bodies– Action-at-a-distance forces, i.e., gravitational, magnetic,

and electrostatic forces.

• There are no other kinds of forces! (Inertia force is a fictitious force.)

• The choice of an input form to be applied to a system requires careful consideration, just as the choice of a suitable model to represent a component or system.

• Here are some examples of force and motion sources.

Page 75: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 75

Force and Motion Inputsacting on a

Multistory Building

Page 76: Modeling of Mechanical Systems

Mechanical System Modeling K. Craig 76

A Mechanical VibrationShaker:

Rotating Unbalanceas a

Force Input

Page 77: Modeling of Mechanical Systems

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Electrodynamic Vibration Shaker as a Force Source

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Force SourceConstructed from a

Motion Sourceand a

Soft Spring

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• Energy Considerations– A system can be caused to respond only by the source

supplying some energy to it; an interchange of energy must occur between source and system.

– If we postulate a force source, there will be an associated motion occurring at the force input point.

– The instantaneous power being transmitted through this energy port is the product of instantaneous force and velocity.

– If the force applied by the source and the velocity caused by it are in the same direction, power is supplied by the source to the system. If force and velocity are opposed, the system is returning power to the source.

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– The concept of mechanical impedance is of some help here.

– The transfer function relating force and velocity at the input port of a system is called the driving-point impedance Zdp.

– We can write an expression for power:

dp

dp

fZ (D) (D)vfZ (i ) (i )v

=

ω = ω

2

dp dp

f fP fv fZ Z

= = =

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– If we apply a force source to a system with a high value of driving-point impedance, not much power will be taken from the source, since the force produces only a small velocity. The extreme case of this would the application of a force to a perfectly rigid wall (driving-point impedance is infinite, since no motion is produced no matter how large a force is applied). In this case the source would not supply any energy.

– The higher the driving-point impedance, the more a real force source behaves like an ideal force source.

– The lower the driving-point impedance, the more a real motion source behaves like an ideal motion source.

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– Real sources may be described accurately as combinations of ideal sources and an output impedance characteristic of the physical device.

– A complete description of the situation thus requires knowledge of two impedances:

• The output impedance of the real source• The driving-point impedance of the driven system

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Mechanical System Examples

Problem StatementDevelop the equivalent rotational model of the rack-and-pinion gear system shown. The applied torque T is the input variable, and the angular displacement θ is the output variable. Neglect any twist in the shaft. Bearings are frictionless. The pinion gear mass moment of inertia about its CG (geometric center) is Ip.

( )2 2 2m s p rI I I m R cR kR T+ + + θ+ θ+ θ =

Rack-and-Pinion Gear System

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Problem StatementA load inertia I5 is driven through a double-gear pair by a motor with inertia I4, as shown. The shaft inertias are negligible. The gear inertias are I1, I2, and I3. The speed ratios are ω1/ω2 = 2 and ω2/ω3 = 5. The motor torque is T1and the viscous damping coefficient c = 4 lb-ft-sec/rad. Neglect elasticity in the system, and use the following inertia values (sec2-ft-lb/rad): I1 = 0.1, I2 = 0.2, I3 = 0.4, I4 = 0.3, I5 = 0.7. Derive the mathematical model for the motor shaft speed ω1 with T1 as the input.

( ) ( )2 2 2 2

4 1 5 3 2 1 1 11 1 1 1I I I I I c T5 2 5 2

⎧ ⎫⎡ ⎤⎪ ⎪⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞+ + + + ω + ω =⎨ ⎬⎢ ⎥⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠⎪ ⎪⎣ ⎦⎩ ⎭

Multi-Gear System

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Physical System

Physical Model

Problem StatementA dynamic vibration absorber consists of a mass and an elastic element that is attached to another mass in order to reduce its vibration. The figure is a representation of a vibration absorber attached to the cantilever support. For a cantilever beam with a force at its end, k = Ewh3/4L3 where L = beam length, w = beam width, and h = beam thickness. (a) Obtain the equation of motion for the system. The force f is a specified force acting on the mass m, and is due to the rotating unbalance of the motor. The displacements x and x2 are measured from the static equilibrium positions when f = 0. (b) Obtain the transfer functions x/f and x2/f.

( )[ ]

( )[ ]

22 2

4 22 2 2 2 2

2 24 2

2 2 2 2 2

m D kxF mm D m k k mk D kk

x kF mm D m k k mk D kk

+=

+ + + +

=+ + + +

Dynamic Vibration Absorber

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Rigid Body Dynamics: KinematicsReference FramesR - Ground xyzR1 - Body x1y1z1

( )1 1 1

1 1 1

R R RR P R A R R AP R AP

R R RP R P

a a r r

a 2 v

⎡ ⎤ ⎡ ⎤= + ω × ω × + α ×⎣ ⎦⎣ ⎦⎡ ⎤+ + ω ×⎣ ⎦

y

z O

P

xR

x1

y1

z1

R1A ( )1 1R RR P R A R AP Pv v r v= + ω × +

Note: For any vector q1

1

RRRRdq dq q

dt dt= + ω ×

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R

R1 R2

O θ = 30º

r = 0.06 m

Rigid-Body Kinematics Example

Given:

Find:

Reference Frames:R → ground: xyzR1 → shaft: x1y1z1R2 → disk: x2y2z2

φ x1

y1

x2

y2

O

z1

y

z

y1

O

α

1

1 2

RR

R R1

ˆ5i constantˆ4k constant

ω = =

ω = =

R Pa

1

1

1

ˆ ˆi i1 0 0ˆ ˆj 0 cos sin jˆ ˆ0 sin cosk k

⎡ ⎤ ⎡ ⎤⎡ ⎤⎢ ⎥ ⎢ ⎥⎢ ⎥= α α⎢ ⎥ ⎢ ⎥⎢ ⎥⎢ ⎥ ⎢ ⎥− α α⎢ ⎥⎣ ⎦⎣ ⎦ ⎣ ⎦

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( )2 2 2

2 2 2

R R RR P R O R R OP R OP

R R RP R P

a a r r

a 2 v

⎡ ⎤ ⎡ ⎤= + ω × ω × + α ×⎣ ⎦⎣ ⎦⎡ ⎤+ + ω ×⎣ ⎦

2

2

R O

R P

R P

a 0a 0v 0

=

=

=

Point O at end of rotating shaft fixed in R

Point P fixed in R2 (disk)

( )

( )( )

2 1 1 2

22

1

R R R RR R1

RR R RRR

1

RRR1

1

1 1 1

ˆ ˆ 5i 4k

d d ˆ ˆ5i 4kdt dt

dk ˆ 0 4 4 kdt

ˆ ˆ ˆ 4 5i k 20j

ω = ω + ω = +

ω ⎡ ⎤α = = +⎣ ⎦

= + = ω ×

= × = −

( )

ˆ ˆ 20 jcos k sin= − α + α

( ) ( )OP1 1ˆ ˆr r cos i r sin j= θ + θ

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After Substitution and Simplification:

( ) ( ) ( )R P1 1 1ˆ ˆ ˆa 16r cos i 41r sin j 40r cos k= − θ + − θ + θ

Alternate Solution:

( )1 1 1

1 1 1

R R RR P R O R R OP R OP

R R RP R P

a a r r

a 2 v

⎡ ⎤ ⎡ ⎤= + ω × ω × + α ×⎣ ⎦⎣ ⎦⎡ ⎤+ + ω ×⎣ ⎦

1

11

R O

RR

RR RRR

a 0ˆ5i constantd 0dt

=

ω = =

ωα = =

( ) ( )OP1 1ˆ ˆr r cos i r sin j= θ + θ

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( )1 1 1 2 1 2 1 2R R R R R R R RP O OP OPa a r r⎡ ⎤ ⎡ ⎤= + ω × ω × + α ×⎣ ⎦⎣ ⎦(P is fixed in R2)

( )

1

1 2

1 1 2 11 2

1 1 1 2

1

R O

R R1

R R R RR R

1

R R R RP O OP

R O

a 0ˆ 4k

d d ˆ4k 0dt dt

v v r

v 0

=

ω =

ω ⎡ ⎤α = = =⎣ ⎦

= + ω ×

=

( ) ( )OP1 1ˆ ˆr r cos i r sin j= θ + θ

After Substitution and Simplification:

( ) ( ) ( )R P1 1 1ˆ ˆ ˆa 16r cos i 41r sin j 40r cos k= − θ + − θ + θ

(same result)

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Rigid Body Dynamics: Kinetics

Linear MomentumAngular Momentum about point C

Equations of Motion

Point C: mass center of a rigid body of mass m.

Reference FramesR - Ground xyzR1 - Body x1y1z1

R CL m v= y1

y

z O

xR

x1

z1

R1A

C

y1

1

1 1 1 1 1 1 1 1

1

1 1 1 1 1 1 1 1

1

1 1 1 1 1 1 1 1

RRx x x x y x z x

RRy y x y y y z y

RRz z x z y z z z

H I I I

H I I I

H I I I

⎡ ⎤ ⎡ ⎤ ⎡ ⎤ω⎢ ⎥ ⎢ ⎥ ⎢ ⎥

= ω⎢ ⎥ ⎢ ⎥ ⎢ ⎥⎢ ⎥ ⎢ ⎥ ⎢ ⎥ω⎣ ⎦ ⎣ ⎦ ⎣ ⎦

1 1 1x 1 y 1 z 1ˆ ˆ ˆH H i H j H k= + +

R R C

R

d vF mdt

dHMdt

∑ =

∑ =

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