first order systems
TRANSCRIPT
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Time Response of First Order Systems
• Standard Test Inputs• Response to different inputs• Response in Matlab and Simulink
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Introduction• In time-domain analysis the response of a dynamic system
to an input is expressed as a function of time.
• It is possible to compute the time response of a system if the nature of input and the mathematical model of the system are known.
• Usually, the input signals to control systems are not known fully ahead of time.
• For example, in a radar tracking system, the position and the speed of the target to be tracked may vary in a random fashion.
• It is therefore difficult to express the actual input signals mathematically by simple equations.
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Standard Test Signals• The characteristics of actual input signals are a
sudden shock, a sudden change, a constant velocity, and constant acceleration.
• The dynamic behavior of a system is therefore judged and compared under application of standard test signals – an impulse, a step, a constant velocity, and constant acceleration.
• Another standard signal of great importance is a sinusoidal signal.
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Standard Test Signals
• Impulse signal– The impulse signal imitate the
sudden shock characteristic of actual input signal.
– If A=1, the impulse signal is called unit impulse signal.
0 t
δ(t)
A
000
ttA
t )(
Sudden shocks i e., HV due lightening or short circuit.
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Standard Test Signals
• Impulse signal
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Standard Test Signals
• Step signal– The step signal imitate
the sudden change characteristic of actual input signal.
– If A=1, the step signal is called unit step signal
000
ttA
tu )( 0 t
u(t)
A
•Switching on a constant voltage in an electrical circuit.•Sudden opening or closing a valve.
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Standard Test Signals
• Ramp signal– The ramp signal imitate
the constant velocity characteristic of actual input signal.
– If A=1, the ramp signal is called unit ramp signal
000
ttAt
tr )(
0 t
r(t)
r(t)
ramp signal with slope A
•Altitude Control of a Missile
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Standard Test Signals
• Parabolic signal– The parabolic signal
imitate the constant acceleration characteristic of actual input signal.
– If A=1, the parabolic signal is called unit parabolic signal.
00
02
2
t
tAttp
)(
0 t
p(t)
parabolic signal with slope A
p(t)
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Relation between standard Test Signals
• Impulse
• Step
• Ramp
• Parabolic
000
ttA
t )(
000
ttA
tu )(
000
ttAt
tr )(
00
02
2
t
tAttp
)(
dtd
dtd
dtd
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Laplace Transform of Test Signals
• Impulse
• Step
000
ttA
t )(
AstL )()}({
000
ttA
tu )(
SAsUtuL )()}({
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Laplace Transform of Test Signals
• Ramp
• Parabolic
2sAsRtrL )()}({
32SAsPtpL )()}({
000
ttAt
tr )(
00
02
2
t
tAttp
)(
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Time Response of Control Systems
System
• The time response of any system has two components
• Transient response
• Steady-state response.
• Time response of a dynamic system response to an input expressed as a function of time.
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Time Response of Control Systems• When the response of the system is changed form rest or
equilibrium it takes some time to settle down.
• Transient response is the response of a system from rest or equilibrium to steady state.
0 2 4 6 8 10 12 14 16 18 200
1
2
3
4
5
6x 10
-3
Step Response
Time (sec)
Ampl
itude
Response
Step Input
Transient Response
• The response of the system after the transient response is called steady state response.
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Time Response of Control Systems
• Transient response is dependent upon the system poles only and not on the type of input.
• It is therefore sufficient to analyze the transient response using a step input.
• The steady-state response depends on system dynamics and the input quantity.
• It is then examined using different test signals by final value theorem.
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Introduction• The first order system has only one pole.
• Where K is the D.C gain and T is the time constant of the system.
• Time constant is a measure of how quickly a 1st order system responds to a unit step input.
• D.C Gain of the system is ratio between the input signal and the steady state value of output.
1
TsK
sRsC)()(
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Introduction• The first order system given below.
1310)(
s
sG
53
s
sG )(151
53
s//
• D.C gain is 10 and time constant is 3 seconds.
• And for following system
• D.C Gain of the system is 3/5 and time constant is 1/5 seconds.
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Impulse Response of 1st Order System• Consider the following 1st order system
1TsK )(sC)(sR
0 t
δ(t)
1
1 )()( ssR
1
TsKsC )(
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Impulse Response of 1st Order System
• Re-arrange following equation as1
Ts
KsC )(
TsTKsC /
/)(1
TteTKtc /)(
• In order represent the response of the system in time domain we need to compute inverse Laplace transform of the above equation.
atCeas
CL
1
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Impulse Response of 1st Order SystemTte
TKtc /)( • If K=3 and T=2s then
0 2 4 6 8 100
0.5
1
1.5
Time
c(t)
K/T*exp(-t/T)
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Step Response of 1st Order System• Consider the following 1st order system
1TsK )(sC)(sR
ssUsR 1
)()(
1
TssKsC )(
1
TsKT
sKsC )(
• In order to find out the inverse Laplace of the above equation, we need to break it into partial fraction expansion
Forced Response Natural Response
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Step Response of 1st Order System
• Taking Inverse Laplace of above equation
11
TsT
sKsC )(
TtetuKtc /)()(
• Where u(t)=1 TteKtc /)( 1
KeKtc 63201 1 .)(
• When t=T
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Step Response of 1st Order System• If K=10 and T=1.5s then TteKtc /)( 1
0 1 2 3 4 5 6 7 8 9 100
1
2
3
4
5
6
7
8
9
10
11
Time
c(t)
K*(1-exp(-t/T))
Unit Step Input
Step Response
110
Input
outputstatesteadyKGainCD .%63
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Step Response of 1st Order System• If K=10 and T=1, 3, 5, 7 TteKtc /)( 1
0 5 10 150
1
2
3
4
5
6
7
8
9
10
11
Time
c(t)
K*(1-exp(-t/T))
T=3s
T=5s
T=7s
T=1s
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Step Response of 1st order System
• System takes five time constants to reach its final value.
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Step Response of 1st Order System• If K=1, 3, 5, 10 and T=1 TteKtc /)( 1
0 5 10 150
1
2
3
4
5
6
7
8
9
10
11
Time
c(t)
K*(1-exp(-t/T))
K=1
K=3
K=5
K=10
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Partial Fraction Expansion in Matlab• If you want to expand a polynomial into partial fractions use
residue command.
Y=[y1 y2 .... yn];X=[x1 x2 .... xn];[r p k]=residue(Y, X)
kps
rps
rps
rsxsy
n
n
2
2
1
1
)()(
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Partial Fraction Expansion in Matlab• If we want to expand following polynomial into partial fractions
8684
2 ss
s
Y=[-4 8];X=[1 6 8];[r p k]=residue(Y, X)
r =[-12 8] p =[-4 -2] k = []
2
2
1
12 86
84ps
rps
rss
s
28
412
8684
2
ssss
s
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Partial Fraction Expansion in Matlab
• If you want to expand a polynomial into partial fractions use residue command.
126
Ss
sC )(
Y=6;X=[2 1 0];[r p k]=residue(Y, X)
r =[ -6 6]p =[-0.5 0]k = []
ssss6
506
126
.
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Ramp Response of 1st Order System• Consider the following 1st order system
1TsK )(sC)(sR
21s
sR )(
12
TssKsC )(
• The ramp response is given as
TtTeTtKtc /)(
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0 5 10 150
2
4
6
8
10
Time
c(t)
Unit Ramp Response
Unit RampRamp Response
Ramp Response of 1st Order System• If K=1 and T=1 TtTeTtKtc /)(
error
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0 5 10 150
2
4
6
8
10
Time
c(t)
Unit Ramp Response
Unit RampRamp Response
Ramp Response of 1st Order System• If K=1 and T=3 TtTeTtKtc /)(
error
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Parabolic Response of 1st Order System
• Consider the following 1st order system
1TsK )(sC)(sR
31s
sR )( 13
TssKsC )(
• Do it yourself
Therefore,
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Practical Determination of Transfer Function of 1st Order Systems
• Often it is not possible or practical to obtain a system's transfer function analytically.
• Perhaps the system is closed, and the component parts are not easily identifiable.
• The system's step response can lead to a representation even though the inner construction is not known.
• With a step input, we can measure the time constant and the steady-state value, from which the transfer function can be calculated.
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Practical Determination of Transfer Function of 1st Order Systems
• If we can identify T and K from laboratory testing we can obtain the transfer function of the system.
1
TsK
sRsC)()(
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Practical Determination of Transfer Function of 1st Order Systems
• For example, assume the unit step response given in figure.
• From the response, we can measure the time constant, that is, the time for the amplitude to reach 63% of its final value.
• Since the final value is about 0.72 the time constant is evaluated where the curve reaches 0.63 x 0.72 = 0.45, or about 0.13 second.
T=0.13s
K=0.72
• K is simply steady state value.
• Thus transfer function is obtained as:
7755
1130720
..
..
)()(
sssRsC
75
ssR
sC)()(
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Examples of First Order Systems
• Armature Controlled D.C Motor (La=0)
abt
at
RKKBJsRK
U(s)Ω(s)
uia T
Ra La
J
B
eb
V f=constant
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Examples of First Order Systems
• Liquid Level System
)()()(
1
RCsR
sQsH
i
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Examples of First Order Systems
• Electrical System
11
RCssE
sE
i
o
)()(
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Examples of First Order Systems
• Mechanical System
1
1
skbsX
sX
i
o
)()(
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Examples of First Order Systems
• Cruise Control of vehicle
bmssUsV
1)()(