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Feedback Control Systems (FCS)

Lecture-13-14
Time Domain Analysis of 1st Order Systems
Dr. Imtiaz Hussain
email: imtiaz.hussain@faculty.muet.edu.pk
URL :http://imtiazhussainkalwar.weebly.com/
Introduction
• The first order system has only one pole.
C(s)
R( s )

K
Ts

1

• 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.
Introduction
• For the first order system given below
10

G(s)

3s

1

• D.C gain is 10 and time constant is 3 seconds.
• And for following system
3/5

3

G(s)
s

5

1 / 5s

1

• D.C Gain of the system is 3/5 and time constant is 1/5
seconds.
Impulse Response of 1st Order System
• Consider the following 1st order system
δ(t)

1

K

R( s )
0

C(s)

1

Ts
t

R( s )

(s)

K

C(s)
Ts

1

1
Impulse Response of 1st Order System
K

C(s)

1

Ts

• Re-arrange above equation as
K /T

C(s)
s

1/T

• In order to represent the response of the system in time domain
we need to compute inverse Laplace transform of the above
equation.
L

A

1

s

Ae
a

at

c( t )

K
T

e

t /T
Impulse Response of 1st Order System
K

• If K=3 and T=2s then c ( t )

e

t /T

T
K/T*exp(-t/T)
1.5

c(t)

1

0.5

0

0

2

4

6
Time

8

10
Step Response of 1st Order System
• Consider the following 1st order system
K

R( s )

Ts
R( s )

C(s)

1
1

U (s)

s
K

C(s)

s Ts

1

• In order to find out the inverse Laplace of the above equation, we
need to break it into partial fraction expansion
Forced Response

C(s)

K
s

Natural Response

KT
Ts

1
Step Response of 1st Order System
C(s)

K

1

T

s

1

Ts

• Taking Inverse Laplace of above equation

c( t )

K u(t )

e

• Where u(t)=1
c( t )

K 1

e

t /T

t /T

• When t=T
c( t )

K 1

e

1

0 . 632 K
Step Response of 1st Order System
• If K=10 and T=1.5s then

c( t )

K 1

e

t /T

K*(1-exp(-t/T))
11
10
Step Response

9
8

K

10

Input

D .C Gain

steady state output

1

c(t)

7

63 %

6
5
4
3
2

Unit Step Input
1
0

0

1

2

3

4

5
Time

6

7

8

9

10
Step Response of 1st Order System
• If K=10 and T=1, 3, 5, 7

c( t )

K 1

e

t /T

K*(1-exp(-t/T))
11
10

T=1s

9
8

T=3s

c(t)

7

T=5s

6
T=7s

5
4
3
2
1
0

0

5

10
Time

15
Step Response of 1st order System
• System takes five time constants to reach its
final value.
Step Response of 1st Order System
• If K=1, 3, 5, 10 and T=1

c( t )

K 1

e

t /T

K*(1-exp(-t/T))
11
10
K=10

9
8

c(t)

7
6

K=5

5
4
K=3

3
2

K=1

1
0

0

5

10
Time

15
Relation Between Step and impulse
response
• The step response of the first order system is
c( t )

K 1

t /T

e

K

Ke

t /T

• Differentiating c(t) with respect to t yields
dc ( t )

d

dt

dt

K

Ke

dc ( t )

K

dt

T

e

t /T

t /T

(impulse response)
Example#1
• Impulse response of a 1st order system is given below.
c(t )

• Find out
–
–
–
–

Time constant T
D.C Gain K
Transfer Function
Step Response

3e

0 .5 t
Example#1
• The Laplace Transform of Impulse response of a
system is actually the transfer function of the system.
• Therefore taking Laplace Transform of the impulse
response given by following equation.
c(t )

3e

3

C(s)

3

1

0 .5

S

0 .5 t

0 .5

S

C(s)

C(s)

(s)

R( s )

C(s)
R( s )

3
S
6

2S

1

0 .5

(s)
Example#1
• Impulse response of a 1st order system is given below.
c(t )

3e

0 .5 t

• Find out
–
–
–
–
–

Time constant T=2
D.C Gain K=6
6
Transfer Function C ( s )
R( s )
2S 1
Step Response
Also Draw the Step response on your notebook
Example#1
• For step response integrate impulse response
c(t )

0 .5 t

3e

c ( t )dt

0 .5 t

3 e

c s (t )

dt

0 .5 t

6e

C

• We can find out C if initial condition is known e.g. cs(0)=0
0

6e
C

c s (t )

0 .5 0

C

6

6

6e

0 .5 t
Example#1

• If initial Conditions are not known then partial fraction
expansion is a better choice
C(s)
R( s )

6
2S

since R ( s ) is a step input , R ( s )

1

1
s
6

C(s)

s 2S

6
s 2S

A
1

6
s 2S

1

s

B
2s

6
1

c( t )

s

6

1
6

s

0 .5

6e

0 .5 t
Partial Fraction Expansion in Matlab
• If you want to expand a polynomial into partial fractions use
residue command.
y( s )
x( s )

r1
s

Y=[y1 y2 .... yn];
X=[x1 x2 .... xn];
[r p k]=residue(Y, X)

r2
p1

s

rn


p2

s

k
pn
Partial Fraction Expansion in Matlab
• If we want to expand following polynomial into partial fractions
4s

Y=[-4
8];
X=[1
6 8];
[r p k]=residue(Y, X)

r =[-12
p =[-4
k = []

8]
-2]

s

2

8

6s

8

4s
s

2

8

r1

6s
4s
s

2

8
8

6s

s

r2
p1

s

12
8

s

4

p2
8

s

2
Partial Fraction Expansion in Matlab
• If you want to expand a polynomial into partial fractions use
residue command.
C(s)

Y=6;
X=[2 1 0];
[r p k]=residue(Y, X)
r =[ -6
p =[-0.5
k = []

6]
0]

6
s 2S

1

6
s 2s

6
1

s

6

0 .5

s
Ramp Response of 1st Order System
• Consider the following 1st order system
K

R( s )

C(s)

1

Ts

1

R( s )

s

2

K

C(s)
s

2

1

Ts

• The ramp response is given as

c( t )

K t

T

Te

t /T
Ramp Response of 1st Order System
• If K=1 and T=1

c( t )

K t

T

Unit Ramp Response
10

Unit Ramp
Ramp Response

c(t)

8

6

4

error

2

0

0

5

10

Time

15

Te

t /T
Ramp Response of 1st Order System
• If K=1 and T=3

c( t )

K t

T

Unit Ramp Response

10

Unit Ramp
Ramp Response

c(t)

8

6

4

error

2

0

0

5

10
Time

15

Te

t /T
Parabolic Response of 1st Order System
• Consider the following 1st order system
K

R( s )

R(s)

Ts
1
s

• Do it yourself

3

Therefore,

C(s)

1

C(s)

K
3

s Ts

1
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.
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.

C(s)
R( s )

K
Ts

1
Practical Determination of Transfer Function
of 1st Order Systems
• For example, assume the unit
step response given in figure.

K=0.72

• 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.
• K is simply steady state value.

C(s)

5

R( s )

s

7

T=0.13s

• Thus transfer function is
obtained as:
C(s)
R( s )

0 . 72
0 . 13 s

5 .5
1

s

7 .7
1st Order System with a Zero
C(s)

K (1

s)

R( s )

Ts

1

• Zero of the system lie at -1/α and pole at -1/T.
• Step response of the system would be:
K (1

C(s)

s)
1

s Ts
K(

K

C(s)

s

c( t )

K

Ts

K
T

(

T)

Partial Fractions

1

T )e

t /T

Inverse Laplace
1st Order System with & W/O Zero (Comparison)
C(s)
R( s )
c( t )

K 1

C(s)

Ts
e

1
t /T

K (1

R( s )

K

Ts

c( t )

K

K

(

s)
1
T )e

t /T

T

• If T>α the shape of the step response is approximately same (with
offset added by zero)
c( t )

K

K

( n )e

t /T

T

c (t )

K 1

n
T

e

t /T
1st Order System with & W/O Zero
• If T>α the response of the system would look like
Unit Step Response
10

10 (1

R( s )

3s

2s)

9

1
c(t)

C(s)

9.5

8.5
8
7.5

c( t )

10

10
3

(2

3 )e

t/3

7
6.5

offset
0

5

10
Time

15
1st Order System with & W/O Zero
• If T<α the response of the system would look like
Unit Step Response of 1st Order Systems with Zeros
14

10 (1

R( s )

c(t )

1 .5 s

10

10
1 .5

2s)

13

1

(2

Unit Step Response

C(s)

1)e

t / 1 .5

12

11

10

9

0

5

10
Time

15
1st Order System with a Zero
Unit Step Response of 1st Order Systems with Zeros
14

Unit Step Response

13
12
11

T
10

T

9
8
7
6

0

5

10
Time

15
1st Order System with & W/O Zero
Unit Step Response of 1st Order Systems
14

Unit Step Response

12

T

10

T
8
6
1st Order System Without Zero

4
2
0

0

2

4

6
Time

8

10
Home Work
• Find out the impulse, ramp and parabolic
response of the system given below.
C(s)

K (1

R( s )

Ts

s)
1
Example#2
• A thermometer requires 1 min to indicate 98% of the
response to a step input. Assuming the thermometer to
be a first-order system, find the time constant.
• If the thermometer is placed in a bath, the temperature
of which is changing linearly at a rate of 10°C/min, how
much error does the thermometer show?
PZ-map and Step Response
jω

C(s)
R( s )
C(s)
R( s )

K
Ts

1

10
s

1s

T

1

-3

-2

-1

δ
PZ-map and Step Response
jω

C(s)
R( s )

K

C(s)
R( s )

1

Ts

T

10
s

2

C(s)

5

R( s )

0 .5 s

-3

1

0 .5 s

-2

-1

δ
PZ-map and Step Response
jω

C(s)
R( s )

K

C(s)
R( s )

1

Ts

T

10
s

3

C(s)

0 . 33 s

-3

3 .3

R( s )

0 . 33 s

1

-2

-1

δ
Comparison
C(s)

C(s)

1

R( s )

R( s )

1

s

Step Response

s

10

Step Response

1

0.1

0.08

0.6

0.06

Amplitude

0.8

Amplitude

1

0.4

0.2

0

0.04

0.02

0

1

2

3
Time (sec)

4

5

6

0

0

0.1

0.2

0.3
Time (sec)

0.4

0.5

0.6
First Order System With Delays
• Following transfer function represents the 1st
order system with time lag.
C(s)
R( s )

K
Ts

1

• Where td is the delay time.

e

st d
First Order System With Delays
C(s)
R( s )

K
Ts

1

st d

e

1

Unit Step
Step Response

td

t
First Order System With Delays
Step Response
10
K

10

C(s)
R( s )

10
3s

1

e

2s

Amplitude

8

6

4

2

td
0
0

2s

T

3s

5

10
Time (sec)

15
Examples of First Order Systems
• Armature Controlled D.C Motor (La=0)
Ra

La
B

u

ia

Ω(s)
U(s)

eb

T

K t Ra
Js

B

K t K b Ra

J
Examples of First Order Systems
• Electrical System

Eo (s)

1

Ei (s)

RCs

1
Examples of First Order Systems
• Mechanical System

X o(s)
X i(s)

1
b
k

s

1
Examples of First Order Systems
• Cruise Control of vehicle

V (s)
U (s)

1
ms

b
To download this lecture visit
http://imtiazhussainkalwar.weebly.com/

END OF LECTURES-13-14

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Lecture 13 14-time_domain_analysis_of_1st_order_systems

  • 1. Feedback Control Systems (FCS) Lecture-13-14 Time Domain Analysis of 1st Order Systems Dr. Imtiaz Hussain email: imtiaz.hussain@faculty.muet.edu.pk URL :http://imtiazhussainkalwar.weebly.com/
  • 2. Introduction • The first order system has only one pole. C(s) R( s ) K Ts 1 • 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.
  • 3. Introduction • For the first order system given below 10 G(s) 3s 1 • D.C gain is 10 and time constant is 3 seconds. • And for following system 3/5 3 G(s) s 5 1 / 5s 1 • D.C Gain of the system is 3/5 and time constant is 1/5 seconds.
  • 4. Impulse Response of 1st Order System • Consider the following 1st order system δ(t) 1 K R( s ) 0 C(s) 1 Ts t R( s ) (s) K C(s) Ts 1 1
  • 5. Impulse Response of 1st Order System K C(s) 1 Ts • Re-arrange above equation as K /T C(s) s 1/T • In order to represent the response of the system in time domain we need to compute inverse Laplace transform of the above equation. L A 1 s Ae a at c( t ) K T e t /T
  • 6. Impulse Response of 1st Order System K • If K=3 and T=2s then c ( t ) e t /T T K/T*exp(-t/T) 1.5 c(t) 1 0.5 0 0 2 4 6 Time 8 10
  • 7. Step Response of 1st Order System • Consider the following 1st order system K R( s ) Ts R( s ) C(s) 1 1 U (s) s K C(s) s Ts 1 • In order to find out the inverse Laplace of the above equation, we need to break it into partial fraction expansion Forced Response C(s) K s Natural Response KT Ts 1
  • 8. Step Response of 1st Order System C(s) K 1 T s 1 Ts • Taking Inverse Laplace of above equation c( t ) K u(t ) e • Where u(t)=1 c( t ) K 1 e t /T t /T • When t=T c( t ) K 1 e 1 0 . 632 K
  • 9. Step Response of 1st Order System • If K=10 and T=1.5s then c( t ) K 1 e t /T K*(1-exp(-t/T)) 11 10 Step Response 9 8 K 10 Input D .C Gain steady state output 1 c(t) 7 63 % 6 5 4 3 2 Unit Step Input 1 0 0 1 2 3 4 5 Time 6 7 8 9 10
  • 10. Step Response of 1st Order System • If K=10 and T=1, 3, 5, 7 c( t ) K 1 e t /T K*(1-exp(-t/T)) 11 10 T=1s 9 8 T=3s c(t) 7 T=5s 6 T=7s 5 4 3 2 1 0 0 5 10 Time 15
  • 11. Step Response of 1st order System • System takes five time constants to reach its final value.
  • 12. Step Response of 1st Order System • If K=1, 3, 5, 10 and T=1 c( t ) K 1 e t /T K*(1-exp(-t/T)) 11 10 K=10 9 8 c(t) 7 6 K=5 5 4 K=3 3 2 K=1 1 0 0 5 10 Time 15
  • 13. Relation Between Step and impulse response • The step response of the first order system is c( t ) K 1 t /T e K Ke t /T • Differentiating c(t) with respect to t yields dc ( t ) d dt dt K Ke dc ( t ) K dt T e t /T t /T (impulse response)
  • 14. Example#1 • Impulse response of a 1st order system is given below. c(t ) • Find out – – – – Time constant T D.C Gain K Transfer Function Step Response 3e 0 .5 t
  • 15. Example#1 • The Laplace Transform of Impulse response of a system is actually the transfer function of the system. • Therefore taking Laplace Transform of the impulse response given by following equation. c(t ) 3e 3 C(s) 3 1 0 .5 S 0 .5 t 0 .5 S C(s) C(s) (s) R( s ) C(s) R( s ) 3 S 6 2S 1 0 .5 (s)
  • 16. Example#1 • Impulse response of a 1st order system is given below. c(t ) 3e 0 .5 t • Find out – – – – – Time constant T=2 D.C Gain K=6 6 Transfer Function C ( s ) R( s ) 2S 1 Step Response Also Draw the Step response on your notebook
  • 17. Example#1 • For step response integrate impulse response c(t ) 0 .5 t 3e c ( t )dt 0 .5 t 3 e c s (t ) dt 0 .5 t 6e C • We can find out C if initial condition is known e.g. cs(0)=0 0 6e C c s (t ) 0 .5 0 C 6 6 6e 0 .5 t
  • 18. Example#1 • If initial Conditions are not known then partial fraction expansion is a better choice C(s) R( s ) 6 2S since R ( s ) is a step input , R ( s ) 1 1 s 6 C(s) s 2S 6 s 2S A 1 6 s 2S 1 s B 2s 6 1 c( t ) s 6 1 6 s 0 .5 6e 0 .5 t
  • 19. Partial Fraction Expansion in Matlab • If you want to expand a polynomial into partial fractions use residue command. y( s ) x( s ) r1 s Y=[y1 y2 .... yn]; X=[x1 x2 .... xn]; [r p k]=residue(Y, X) r2 p1 s rn  p2 s k pn
  • 20. Partial Fraction Expansion in Matlab • If we want to expand following polynomial into partial fractions 4s Y=[-4 8]; X=[1 6 8]; [r p k]=residue(Y, X) r =[-12 p =[-4 k = [] 8] -2] s 2 8 6s 8 4s s 2 8 r1 6s 4s s 2 8 8 6s s r2 p1 s 12 8 s 4 p2 8 s 2
  • 21. Partial Fraction Expansion in Matlab • If you want to expand a polynomial into partial fractions use residue command. C(s) Y=6; X=[2 1 0]; [r p k]=residue(Y, X) r =[ -6 p =[-0.5 k = [] 6] 0] 6 s 2S 1 6 s 2s 6 1 s 6 0 .5 s
  • 22. Ramp Response of 1st Order System • Consider the following 1st order system K R( s ) C(s) 1 Ts 1 R( s ) s 2 K C(s) s 2 1 Ts • The ramp response is given as c( t ) K t T Te t /T
  • 23. Ramp Response of 1st Order System • If K=1 and T=1 c( t ) K t T Unit Ramp Response 10 Unit Ramp Ramp Response c(t) 8 6 4 error 2 0 0 5 10 Time 15 Te t /T
  • 24. Ramp Response of 1st Order System • If K=1 and T=3 c( t ) K t T Unit Ramp Response 10 Unit Ramp Ramp Response c(t) 8 6 4 error 2 0 0 5 10 Time 15 Te t /T
  • 25. Parabolic Response of 1st Order System • Consider the following 1st order system K R( s ) R(s) Ts 1 s • Do it yourself 3 Therefore, C(s) 1 C(s) K 3 s Ts 1
  • 26. 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.
  • 27. 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. C(s) R( s ) K Ts 1
  • 28. Practical Determination of Transfer Function of 1st Order Systems • For example, assume the unit step response given in figure. K=0.72 • 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. • K is simply steady state value. C(s) 5 R( s ) s 7 T=0.13s • Thus transfer function is obtained as: C(s) R( s ) 0 . 72 0 . 13 s 5 .5 1 s 7 .7
  • 29. 1st Order System with a Zero C(s) K (1 s) R( s ) Ts 1 • Zero of the system lie at -1/α and pole at -1/T. • Step response of the system would be: K (1 C(s) s) 1 s Ts K( K C(s) s c( t ) K Ts K T ( T) Partial Fractions 1 T )e t /T Inverse Laplace
  • 30. 1st Order System with & W/O Zero (Comparison) C(s) R( s ) c( t ) K 1 C(s) Ts e 1 t /T K (1 R( s ) K Ts c( t ) K K ( s) 1 T )e t /T T • If T>α the shape of the step response is approximately same (with offset added by zero) c( t ) K K ( n )e t /T T c (t ) K 1 n T e t /T
  • 31. 1st Order System with & W/O Zero • If T>α the response of the system would look like Unit Step Response 10 10 (1 R( s ) 3s 2s) 9 1 c(t) C(s) 9.5 8.5 8 7.5 c( t ) 10 10 3 (2 3 )e t/3 7 6.5 offset 0 5 10 Time 15
  • 32. 1st Order System with & W/O Zero • If T<α the response of the system would look like Unit Step Response of 1st Order Systems with Zeros 14 10 (1 R( s ) c(t ) 1 .5 s 10 10 1 .5 2s) 13 1 (2 Unit Step Response C(s) 1)e t / 1 .5 12 11 10 9 0 5 10 Time 15
  • 33. 1st Order System with a Zero Unit Step Response of 1st Order Systems with Zeros 14 Unit Step Response 13 12 11 T 10 T 9 8 7 6 0 5 10 Time 15
  • 34. 1st Order System with & W/O Zero Unit Step Response of 1st Order Systems 14 Unit Step Response 12 T 10 T 8 6 1st Order System Without Zero 4 2 0 0 2 4 6 Time 8 10
  • 35. Home Work • Find out the impulse, ramp and parabolic response of the system given below. C(s) K (1 R( s ) Ts s) 1
  • 36. Example#2 • A thermometer requires 1 min to indicate 98% of the response to a step input. Assuming the thermometer to be a first-order system, find the time constant. • If the thermometer is placed in a bath, the temperature of which is changing linearly at a rate of 10°C/min, how much error does the thermometer show?
  • 37. PZ-map and Step Response jω C(s) R( s ) C(s) R( s ) K Ts 1 10 s 1s T 1 -3 -2 -1 δ
  • 38. PZ-map and Step Response jω C(s) R( s ) K C(s) R( s ) 1 Ts T 10 s 2 C(s) 5 R( s ) 0 .5 s -3 1 0 .5 s -2 -1 δ
  • 39. PZ-map and Step Response jω C(s) R( s ) K C(s) R( s ) 1 Ts T 10 s 3 C(s) 0 . 33 s -3 3 .3 R( s ) 0 . 33 s 1 -2 -1 δ
  • 40. Comparison C(s) C(s) 1 R( s ) R( s ) 1 s Step Response s 10 Step Response 1 0.1 0.08 0.6 0.06 Amplitude 0.8 Amplitude 1 0.4 0.2 0 0.04 0.02 0 1 2 3 Time (sec) 4 5 6 0 0 0.1 0.2 0.3 Time (sec) 0.4 0.5 0.6
  • 41. First Order System With Delays • Following transfer function represents the 1st order system with time lag. C(s) R( s ) K Ts 1 • Where td is the delay time. e st d
  • 42. First Order System With Delays C(s) R( s ) K Ts 1 st d e 1 Unit Step Step Response td t
  • 43. First Order System With Delays Step Response 10 K 10 C(s) R( s ) 10 3s 1 e 2s Amplitude 8 6 4 2 td 0 0 2s T 3s 5 10 Time (sec) 15
  • 44. Examples of First Order Systems • Armature Controlled D.C Motor (La=0) Ra La B u ia Ω(s) U(s) eb T K t Ra Js B K t K b Ra J
  • 45. Examples of First Order Systems • Electrical System Eo (s) 1 Ei (s) RCs 1
  • 46. Examples of First Order Systems • Mechanical System X o(s) X i(s) 1 b k s 1
  • 47. Examples of First Order Systems • Cruise Control of vehicle V (s) U (s) 1 ms b
  • 48. To download this lecture visit http://imtiazhussainkalwar.weebly.com/ END OF LECTURES-13-14