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8/3/2019 Automation 4
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Ch3 Feedback control system
characteristics
Open- and closed-loop control systems
Sensitivity to Parameter variations
Transient response of control system Disturbance in feedback control system
Main content:
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continue
Steady-state error
The cost of feedback
Examples and simulation
Main content:
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3.1 Open-loop and closed-loop
control systems
Review the concepts and structure
Refer to P174-175
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The roles of feedback
Reduce error (eliminating the error)
Reduce sensitivity or Enhance robustness
Disturbance rejection or elimination
Improve dynamic performance or adjust thetransient response (such as reduce time
constant)
Benefits:
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3.2 Sensitivity of system to
parameter variations
System are time-varying in its nature because
of inevitable uncertainties such as changingenvironment , aging , and other factors that
affect a control process.All these uncertainties
in open-loop system will result in inaccurateoutput or low performance. However, a closed-
loop system can overcome this disadvantage.
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A primary advantage of a closed-loop
feedback control system is its ability to
reduce the system¶s sensitivity to
parameter variation.
Sensitivity analysis Robust control
C ontinue
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Effect of parameter variations
If process is change as)( sG )()( sG sG (
Open-loop system
)()()( s R sG sY (!(
Closed-loop system
)(
)1(
)(
)()1)(1(
)()(
2s R
GH
sG
s RGH GH GH
sG sY
(!
(
(
!(
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continueIn the limit, for small incremental changes, last
formula is
InG
InT
sG sG
sT sT S
x
x!
x
x!
)(/)(
)(/)(
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Sensitivity comparison Open-loop system
Closed-loop system
1!T
GS
)()(1
1
s H sGS T
G
!
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Sensitivity to parametersIf system TF is
),(
),(),( E
E
E s D
s N sT !
System sensitivity to is
D N T S S
In
InD
In
InN
In
InT S
EEE
EEE!
x
x
x
x!
x
x!
E
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Example of sensitivity Feedback amplifier
Goal: Reduce the sensitivity to parameters
variation, that is enhance the robustness to
change in amplifier gain.
Refer to 178-179
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3.3 Transient response of system
Transient response is the response of a
system as a function of time. It is one of themost important characteristics of control
system.
If transient response is not satisfying, whatshall we do?
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Control of transient response(Take speed control system as example)
Cascade controller
Feedback controller
Refer to P180 ( F igure 4.6 and F igure 4.7)
Refer to P181 ( F igure 4.8)
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3.4 Disturbance in a feedback
control system
Disturbance signal is an unwanted extraneous
input signal that affects the system¶s output
signal, such as noise for amplifier,wind gusts
for radar antennas,etc.
Feedback control can completely or partially
eliminate the effect of disturbance signal.
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Example of steel rolling mill Refer to P183-187
Load changes or d isturbances+ Noise
Feedback can alleviate the effects of
disturbances and noise signal occurring
within the feedback loop.
If system exists noise at the input point, we
can design a low-pass filter to improve SNR
(signal-noise ratio)
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System sensitivitySystem sensitivity is defined as the ratio of the
percentage change in the system transfer function
to the percentage change of the process transfer function. It is defined as
)(/)()(/)(
sG sG sT sT S
(
(!
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3.5 Steady-state error Steady-state error is the error after the
transient response has decayed,leaving onlythe continuous response.
Feedback can reduce the steady-state error
of control system
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How to define the error ? From input point:
From output point:
E a(s)=R(s)-H(s)Y(s)
E (s)=R(s)-Y(s)
Only for unit feedback H(s)=1,We have
E a (s)= E (s)
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Comparison of error
)())(1()()()( s R sG sY s R s E o !!
1)(,)()(1
1)( !
! s H for s R
sG s E
o
Open-loop system
C losed -loop system
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continue Open-loop system under unit step input
Closed-loop system under unit step input
)0(11))(1(lim)(lim)(00
G s
sG s s s E e s
o s
o !!!gpp
)0(111)
)(11(lim)(lim)(
00 G s sG s s s E e
sc
sc
!
!!g
pp
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Example illustration Refer to P189-190
An example of first-order system
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3.6 The cost of feedback
Increase of complexity
Loss of gain
Instability
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An unrealistic dream
Why not simply set G(s)=Y(s)/R(s)=1?
Transfer function represent the physical
system or process, Therefore G(s)=1 is
unrealizable.
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3.7 Design examples English channel boring machines
Mars rover vehicle
PD controller, and how to select K ?
To compare the sensitivity and steady-state error between open-loop and closed-loop system
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3.8 Simulation using MATLAB Refer to P196-202
Self-learning after class
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Summary
Decrease the sensitivity to parameter variation
Improve transient or dynamic performance
Enhance the robustness
Reduce the steady-state error
The fundamental reasons for using feedback are as
follows:
Refer to P205-207
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Assignment E4.1
E4.3
E4.4
E4.6
E4.8 P4.2 , P4.5, P4.7