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Dynamic Behavior of Closed-
Loop Control Systems
Chapter
11
4-20 mA
Chapter
11
Next, we develop a transfer function for each of the five elements
in the feedback control loop. For the sake of simplicity, flow rate
w1 is assumed to be constant, and the system is initially operating
at the nominal steady rate.
Process
In section 4.3 the approximate dynamic model of a stirred-tank
blending system was developed:
     
1 2
1 2 (11-1)
τ 1 τ 1
K K
X s X s W s
s s
   
  
 
   
 
   
where
1
1 2
ρ 1
, , and (11-2)
w
V x
K K
w w w


  
Chapter
11
Chapter
11
      (11-5)
sp m
e t x t x t
 
 
or after taking Laplace transforms,
      (11-6)
sp m
E s X s X s
 
 
The symbol denotes the internal set-point composition
expressed as an equivalent electrical current signal. This signal
is used internally by the controller. is related to the actual
composition set point by the composition sensor-
transmitter gain Km:
 
sp
x t

 
sp
x t

 
sp
x t

    (11-7)
sp m sp
x t K x t
 

Thus
 
 
(11-8)
sp
m
sp
X s
K
X s



Chapter
11
Current-to-Pressure (I/P) Transducer
Because transducers are usually designed to have linear
characteristics and negligible (fast) dynamics, we assume that the
transducer transfer function merely consists of a steady-state gain
KIP:
 
 
(11-9)
t
IP
P s
K
P s



Control Valve
As discussed in Section 9.2, control valves are usually designed so
that the flow rate through the valve is a nearly linear function of
the signal to the valve actuator. Therefore, a first-order transfer
function usually provides an adequate model for operation of an
installed valve in the vicinity of a nominal steady state. Thus, we
assume that the control valve can be modeled as
 
 
2
(11-10)
τ 1
v
t v
W s K
P s s


 
Chapter
11
Composition Sensor-Transmitter (Analyzer)
We assume that the dynamic behavior of the composition sensor-
transmitter can be approximated by a first-order transfer function:
 
 
(11-3)
τ 1
m m
m
X s K
X s s


 
Controller
Suppose that an electronic proportional plus integral controller is
used. From Chapter 8, the controller transfer function is
 
 
1
1 (11-4)
τ
c
I
P s
K
E s s
  
 
 
 
where and E(s) are the Laplace transforms of the controller
output and the error signal e(t). Note that and e are
electrical signals that have units of mA, while Kc is dimensionless.
The error signal is expressed as
 
P s

 
p t
 p
Chapter
11
Chapter
11
Transfer Functions of Control
Systems
 
 
 
 
1
Set-Point Change: ?
Load Change: ?
sp
X s
X s
X s
X s






1. Summer
2. Comparator
3. Block
•Blocks in Series
are equivalent to...
G(s)X(s)
Y(s) 

Chapter
11
Chapter
11
Closed-Loop Transfer Function
for Set-Point Change (Servo
Problem)
 
             
       
         
         
 
 
2
0
1
p v p
v p c
v p c sp
v p c m sp m
m c v p
sp c v p m
D s
Y s X s G s U s G s G s P s
G s G s G s E s
G s G s G s Y s B s
G s G s G s K Y s G Y s
K G G G
Y s
Y s G G G G

  

 
 
 
 
 
 



Closed-Loop Transfer Function
for Load Change (Regulator
Problem)
 
     
       
             
           
 
 
1 2
0
1
sp
d p
d v p c m
d v p c
m s
m
d
c v m
p
p
Y s
Y s X s X s
G s D s G s U s
G s D s G s G s G s G
K Y Y s
G s D s G s G s G s G Y s
Y s G
D s G G
s
G G

 
 
 
  
 
  
 
 



General Expression of Closed-
Loop Transfer Function
1
where
, :any two variables in block diagram
: product of the transfer functions in the
path from to
: product of the transfer functions in the
feedback loop.
f
e
f
e
Y
X
X Y
X Y






Servo Problem
open-loop transfer function
sp
f m c v p
e c v p m OL
X Y
Y Y
K G G G
G G G G G





 

Regulator Problem
open-loop transfer function
f d
e c v p m OL
X D
Y Y
G
G G G G G





 

Chapter
11
I O
Example
2 1
4
2 1 2
1 1 2 3
1 2 3 1
1 1 2 3
1 2 3 1
1 1 2 1 2 3
2 1 2 1 2 1
4
4
2 3 1
2 1
2 1 2
2 1
2 1 2
1
1
1
1
1
1
c
c m
m c
sp c m
m c
c m
c
c m
c
c
m c c
c m c c m
m
G
G
G G
G G
G G
O
G
I G G G
K G G G
C
Y G
G
G G G
K G G G
G G G G
K G G G G G
G G G G G G
G
G G
G
G
G
G
G
 
 
 






 
 








Chapter
11
Chapter
11
Closed-Loop Response with
P Control (Set-Point Change)
 
 
1
1
1
1
1
1
1
1
where
and open-loop gain = 0
1
1
p
m c v
p
sp
c v m
OL
OL m c v p
OL
OL
K
K K K
H s K
s
K
H s s
K K K
s
K
K K K K K K
K
K




 
 
 
 


  

 

Closed-Loop Response with
P Control (Set-Point Change)
     
   
   
1
/
1
1
1
1
offset
1
offset and
sp sp
t
sp
OL
OL
M
h t M S t H s
s
h t K M e
M
h h M K M
K
K



 
   
  
 
      

    
Chapter
11
Chapter
11
Closed-Loop Response with
P Control (Load Change)
 
 
         
   
1
2
1 1
2
/
1 1 2
2
1
1
1
1
1
where
1
1
offset 0
1
offset and
p
p
c v m
p
OL
t
p
sp
OL
OL
K
H s K
s
K
Q s s
K K K
s
K
K
K
M
q t M S t Q s h t K M e
s
K M
h h K M
K
K






 
 
 




  
      
 
       

    
Chapter
11
Closed-Loop Response with
PI Control (Set-Point Change)
 
 
 
1
1
1
1
1 1
1
1
1
1
1
1
c c
I
p
p
m v
m v
p p
sp
v m
c m
c
c
I
c
I
v
G
K
s K
s
K
K K K
K K
H s s
s
K K
H s
G s
K K K K
s
K
s s
G





 
 

 
 
 

 
 
 
 
 
 
 

 

 
 
Closed-Loop Response with
PI Control (Load Change)
 
 
2 2
3
1
3
2 3 3
3 3 3
1 1
1 1
1 1
1
1
where
1
1
1
2 1
1
, ,
2
p p
p p
v m v m
I
c v m
OL
I
I
OL OL
OL
I I I
c v m O
c
O
I
L
c
L
K K
H s s s
K K
Q s
K K K K
s s
s
K K K K s
K
s s
K K
K
K
K
G
K K K K
K
s
s s
 
 



  
 
 



  
 

 
 
 

 

  
 

 
 
 
Closed-Loop Response with
PI Control (Load Change)
     
 
 
3
3
1 1
3
2 2
3 3 3
2
3
3
2
3
3 3
1
2 1
1
sin
1
Note that offset is eliminated!
t
q t S t Q s
s
K
H s
s s
K
h t e t


  


 

 
  
 
 
 

  

 
  
Closed-Loop Response with
PI Control (Load Change)
   
   
3 3
3 3
faster response , less oscillatory
faster response , more oscillatory
c
I
K
 

 

  

  
EXAMPLE 1: P.I. control of liquid level
Block Diagram:
Chapter
11
Assumptions
1. q1, varies with time; q2 is constant.
2. Constant density and x-sectional area of tank, A.
3. (for uncontrolled process)
4. The transmitter and control valve have negligible dynamics
(compared with dynamics of tank).
5. Ideal PI controller is used (direct-acting).
)
h
(
f
q3 
0
K
As
1
)
s
(
G
As
1
)
s
(
G
K
)
s
(
G
K
)
s
(
G
s
1
1
K
)
s
(
G
C
L
P
V
V
M
M
I
C
C


















For these assumptions, the transfer functions are:
Chapter
11
M
P
V
C
L
G
G
G
G
G
Q
H
D
Y





1
1
M
V
I
C K
As
K
s
K
As
D
Y


















1
1
1
1
1

M
P
C
I
M
V
C
I
I
K
K
K
s
K
K
K
s
A
s
D
Y






2
0
2


 M
P
C
I
M
V
C
I K
K
K
s
K
K
K
s
A 

1
s
2
s
K
)
s
(
G 2
2





The closed-loop transfer function is:
Substitute,
Simplify,
Characteristic Equation:
Recall the standard 2nd Order Transfer Function:
(11-68)
(2)
(3)
(4)
(5)
Chapter
11
For 0 <  < 1 , closed-loop response is oscillatory. Thus
decreased degree of oscillation by increasing Kc or I (for constant
Kv, KM, and A).
To place Eqn. (4) in the same form as the denominator of the
T.F. in Eqn. (5), divide by Kc, KV, KM :
0
1
s
s
K
K
K
A
I
2
M
V
C
I





A
K
K
K
2
1 I
M
V
C 


1
0 


Comparing coefficients (5) and (6) gives:
Substitute,















2
2
K
K
K
A
K
K
K
A
I
I
M
V
C
I
M
V
C
I
2
•unusual property of PI control of integrating system
•better to use P only
Chapter
11

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1413570.ppt

  • 1. Dynamic Behavior of Closed- Loop Control Systems Chapter 11 4-20 mA
  • 3. Next, we develop a transfer function for each of the five elements in the feedback control loop. For the sake of simplicity, flow rate w1 is assumed to be constant, and the system is initially operating at the nominal steady rate. Process In section 4.3 the approximate dynamic model of a stirred-tank blending system was developed:       1 2 1 2 (11-1) τ 1 τ 1 K K X s X s W s s s                    where 1 1 2 ρ 1 , , and (11-2) w V x K K w w w      Chapter 11
  • 5.       (11-5) sp m e t x t x t     or after taking Laplace transforms,       (11-6) sp m E s X s X s     The symbol denotes the internal set-point composition expressed as an equivalent electrical current signal. This signal is used internally by the controller. is related to the actual composition set point by the composition sensor- transmitter gain Km:   sp x t    sp x t    sp x t      (11-7) sp m sp x t K x t    Thus     (11-8) sp m sp X s K X s    Chapter 11
  • 6. Current-to-Pressure (I/P) Transducer Because transducers are usually designed to have linear characteristics and negligible (fast) dynamics, we assume that the transducer transfer function merely consists of a steady-state gain KIP:     (11-9) t IP P s K P s    Control Valve As discussed in Section 9.2, control valves are usually designed so that the flow rate through the valve is a nearly linear function of the signal to the valve actuator. Therefore, a first-order transfer function usually provides an adequate model for operation of an installed valve in the vicinity of a nominal steady state. Thus, we assume that the control valve can be modeled as     2 (11-10) τ 1 v t v W s K P s s     Chapter 11
  • 7. Composition Sensor-Transmitter (Analyzer) We assume that the dynamic behavior of the composition sensor- transmitter can be approximated by a first-order transfer function:     (11-3) τ 1 m m m X s K X s s     Controller Suppose that an electronic proportional plus integral controller is used. From Chapter 8, the controller transfer function is     1 1 (11-4) τ c I P s K E s s          where and E(s) are the Laplace transforms of the controller output and the error signal e(t). Note that and e are electrical signals that have units of mA, while Kc is dimensionless. The error signal is expressed as   P s    p t  p Chapter 11
  • 9. Transfer Functions of Control Systems         1 Set-Point Change: ? Load Change: ? sp X s X s X s X s      
  • 10. 1. Summer 2. Comparator 3. Block •Blocks in Series are equivalent to... G(s)X(s) Y(s)   Chapter 11
  • 12. Closed-Loop Transfer Function for Set-Point Change (Servo Problem)                                                 2 0 1 p v p v p c v p c sp v p c m sp m m c v p sp c v p m D s Y s X s G s U s G s G s P s G s G s G s E s G s G s G s Y s B s G s G s G s K Y s G Y s K G G G Y s Y s G G G G                    
  • 13. Closed-Loop Transfer Function for Load Change (Regulator Problem)                                               1 2 0 1 sp d p d v p c m d v p c m s m d c v m p p Y s Y s X s X s G s D s G s U s G s D s G s G s G s G K Y Y s G s D s G s G s G s G Y s Y s G D s G G s G G                      
  • 14. General Expression of Closed- Loop Transfer Function 1 where , :any two variables in block diagram : product of the transfer functions in the path from to : product of the transfer functions in the feedback loop. f e f e Y X X Y X Y      
  • 15. Servo Problem open-loop transfer function sp f m c v p e c v p m OL X Y Y Y K G G G G G G G G        
  • 16. Regulator Problem open-loop transfer function f d e c v p m OL X D Y Y G G G G G G        
  • 18. Example 2 1 4 2 1 2 1 1 2 3 1 2 3 1 1 1 2 3 1 2 3 1 1 1 2 1 2 3 2 1 2 1 2 1 4 4 2 3 1 2 1 2 1 2 2 1 2 1 2 1 1 1 1 1 1 c c m m c sp c m m c c m c c m c c m c c c m c c m m G G G G G G G G O G I G G G K G G G C Y G G G G G K G G G G G G G K G G G G G G G G G G G G G G G G G G G                        
  • 21. Closed-Loop Response with P Control (Set-Point Change)     1 1 1 1 1 1 1 1 where and open-loop gain = 0 1 1 p m c v p sp c v m OL OL m c v p OL OL K K K K H s K s K H s s K K K s K K K K K K K K K                     
  • 22. Closed-Loop Response with P Control (Set-Point Change)               1 / 1 1 1 1 offset 1 offset and sp sp t sp OL OL M h t M S t H s s h t K M e M h h M K M K K                           
  • 25. Closed-Loop Response with P Control (Load Change)                   1 2 1 1 2 / 1 1 2 2 1 1 1 1 1 where 1 1 offset 0 1 offset and p p c v m p OL t p sp OL OL K H s K s K Q s s K K K s K K K M q t M S t Q s h t K M e s K M h h K M K K                                          
  • 27. Closed-Loop Response with PI Control (Set-Point Change)       1 1 1 1 1 1 1 1 1 1 1 1 c c I p p m v m v p p sp v m c m c c I c I v G K s K s K K K K K K H s s s K K H s G s K K K K s K s s G                                       
  • 28. Closed-Loop Response with PI Control (Load Change)     2 2 3 1 3 2 3 3 3 3 3 1 1 1 1 1 1 1 1 where 1 1 1 2 1 1 , , 2 p p p p v m v m I c v m OL I I OL OL OL I I I c v m O c O I L c L K K H s s s K K Q s K K K K s s s K K K K s K s s K K K K K G K K K K K s s s                                             
  • 29. Closed-Loop Response with PI Control (Load Change)           3 3 1 1 3 2 2 3 3 3 2 3 3 2 3 3 3 1 2 1 1 sin 1 Note that offset is eliminated! t q t S t Q s s K H s s s K h t e t                               
  • 30. Closed-Loop Response with PI Control (Load Change)         3 3 3 3 faster response , less oscillatory faster response , more oscillatory c I K             
  • 31. EXAMPLE 1: P.I. control of liquid level Block Diagram: Chapter 11
  • 32. Assumptions 1. q1, varies with time; q2 is constant. 2. Constant density and x-sectional area of tank, A. 3. (for uncontrolled process) 4. The transmitter and control valve have negligible dynamics (compared with dynamics of tank). 5. Ideal PI controller is used (direct-acting). ) h ( f q3  0 K As 1 ) s ( G As 1 ) s ( G K ) s ( G K ) s ( G s 1 1 K ) s ( G C L P V V M M I C C                   For these assumptions, the transfer functions are: Chapter 11
  • 33. M P V C L G G G G G Q H D Y      1 1 M V I C K As K s K As D Y                   1 1 1 1 1  M P C I M V C I I K K K s K K K s A s D Y       2 0 2    M P C I M V C I K K K s K K K s A   1 s 2 s K ) s ( G 2 2      The closed-loop transfer function is: Substitute, Simplify, Characteristic Equation: Recall the standard 2nd Order Transfer Function: (11-68) (2) (3) (4) (5) Chapter 11
  • 34. For 0 <  < 1 , closed-loop response is oscillatory. Thus decreased degree of oscillation by increasing Kc or I (for constant Kv, KM, and A). To place Eqn. (4) in the same form as the denominator of the T.F. in Eqn. (5), divide by Kc, KV, KM : 0 1 s s K K K A I 2 M V C I      A K K K 2 1 I M V C    1 0    Comparing coefficients (5) and (6) gives: Substitute,                2 2 K K K A K K K A I I M V C I M V C I 2 •unusual property of PI control of integrating system •better to use P only Chapter 11