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Interacting vs. Noninteracting Systems
• Consider a process with several invariables and several output
variables. The process is said to be interacting if:
o Each input affects more than one output.
Chapter 6
or
o A change in one output affects the other outputs.
Otherwise, the process is called noninteracting.
• As an example, we will consider the two liquid-level storage
systems shown in Figs. 4.3 and 6.13.
• In general, transfer functions for interacting processes are more
complicated than those for noninteracting processes.
1
Chapter 6
Figure 4.3. A noninteracting system:
two surge tanks in series.
Figure 6.13. Two tanks in series whose liquid levels interact.
2
Chapter 6
Figure 4.3. A noninteracting system:
two surge tanks in series.
dh1
qi q1
dt
Mass Balance:
A1
Valve Relation:
1
q1 h1
R1
(4-48)
(4-49)
Substituting (4-49) into (4-48) eliminates q1:
dh1
1
A1
qi h1
dt
R1
(4-50)
3
Chapter 6
Putting (4-49) and (4-50) into deviation variable form gives
dh1
1
A1
qi h1
dt
R1
(4-51)
1
q1 h1
R1
(4-52)
The transfer function relating H1 s to Q1i s is found by
transforming (4-51) and rearranging to obtain
H1 s
R1
K1
Qi s A1R1s 1 τ1s 1
(4-53)
where K1 R1 and τ1 A1R1. Similarly, the transfer function
relating Q1 s to H1 s is obtained by transforming (4-52).
4
Chapter 6
Q1 s 1
1
H1 s R1 K1
(4-54)
The same procedure leads to the corresponding transfer functions
for Tank 2,
H 2 s
R2
K2
(4-55)
Q2 s A2 R2 s 1 τ 2 s 1
Q2 s
1
1
H 2 s R2 K 2
(4-56)
where K2 R2 and τ2 A2 R2. Note that the desired transfer
function relating the outflow from Tank 2 to the inflow to Tank 1
can be derived by forming the product of (4-53) through (4-56).
5
Q2 s Q2 s H 2 s Q1 s H1 s
Qi s H 2 s Q1 s H1 s Qi s
(4-57)
Q2 s
1 K 2 1 K1
Qi s K 2 τ 2 s 1 K1 τ1s 1
(4-58)
Chapter 6
or
which can be simplified to yield
Q2 s
1
Qi s τ1s 1 τ 2 s 1
(4-59)
a second-order transfer function (does unity gain make sense on
physical grounds?). Figure 4.4 is a block diagram showing
information flow for this system.
6
Block Diagram for Noninteracting
Surge Tank System
Figure 4.4. Input-output model for two liquid surge tanks in
series.
7
Chapter 6
Dynamic Model of An Interacting Process
Figure 6.13. Two tanks in series whose liquid levels interact.
1
q1 h1 h2
R1
(6-70)
The transfer functions for the interacting system are:
8
H 2 s
R2
2 2
Qi s τ s 2ζτs 1
(6-74)
Chapter 6
Q2 s
1
2 2
Qi s τ s 2ζτs 1
H1 s
K1 τ a s 1
2 2
Qi s τ s 2ζτs 1
(6-72)
where
τ= τ1τ 2 , ζ
τ1 τ 2 R2 A1
, and τ a
2 τ1τ 2
R1R2 A2 / R1 R2
In Exercise 6.15, the reader can show that ζ>1 by analyzing the
denominator of (6-71); hence, the transfer function is
overdamped, second order, and has a negative zero.
9
Model Comparison
• Noninteracting system
Q2 s
1
Qi s τ1s 1 τ 2 s 1
Chapter 6
where τ1
A1 R1 and τ 2
(4-59)
A2 R2 .
• Interacting system
Q2 s
1
2 2
Qi s τ s 2ζτs 1
where ζ 1 and τ
τ1τ 2
• General Conclusions
1. The interacting system has a slower response.
(Example: consider the special case where t = t1 t2.
2. Which two-tank system provides the best damping
of inlet flow disturbances?
10
Multiple-Input, Multiple Output
(MIMO) Processes
Chapter 6
• Most industrial process control applications involved a number
of input (manipulated) and output (controlled) variables.
• These applications often are referred to as multiple-input/
multiple-output (MIMO) systems to distinguish them from the
simpler single-input/single-output (SISO) systems that have
been emphasized so far.
• Modeling MIMO processes is no different conceptually than
modeling SISO processes.
11
• For example, consider the system illustrated in Fig. 6.14.
Chapter 6
• Here the level h in the stirred tank and the temperature T are to
be controlled by adjusting the flow rates of the hot and cold
streams wh and wc, respectively.
• The temperatures of the inlet streams Th and Tc represent
potential disturbance variables.
• Note that the outlet flow rate w is maintained constant and the
liquid properties are assumed to be constant in the following
derivation.
(6-88)
12
Chapter 6
Figure 6.14. A multi-input, multi-output thermal mixing process.
13
14
Chapter 6