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[Luyben] Process Mod.. - Student subdomain for University of Bath

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FIGURE 16.5<br />

Multivariable INA<br />

(- 1, 0) point, the system may be closedloop unstable (Fig. 16.6b). The INA plots<br />

<strong>for</strong> the Wood and Berry column are shown in Fig. 16.6~.<br />

Usually the INA is a very conservative measure <strong>of</strong> stability. Compensators<br />

are found by trial and error to reshape the INA plots so that the circles are small<br />

and the system is “diagonally dominant.” The INA method strives <strong>for</strong> the elimination<br />

<strong>of</strong> interaction among the loops and there<strong>for</strong>e has limited usefulness in<br />

process control where load rejection is the most important question.<br />

16.3.3 Decoupling<br />

Some <strong>of</strong> the earliest work in multivariable control involved the use <strong>of</strong> decouplers<br />

to remove the interaction between the loops. Figure 16.7 gives the basic structure<br />

<strong>of</strong> the system. The decoupling matrix Qt9, is chosen such that each loop does not<br />

affect the others. Figure 16.8 shows the details <strong>of</strong> a 2 x 2 system. The decoupling<br />

element D, can be selected in a number <strong>of</strong> ways. One <strong>of</strong> the most straight<strong>for</strong>ward<br />

is to set D,, = D,, = 1 and design the D,, and D,, elements so that they cancel

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