From Basic and Advanced Regulatory Control: System Design and Application, 2nd Edition

PERFORMANCE CRITERIA

One decision that must be made very early in the loop-tuning procedure is a criterion for acceptable performance. Often this criterion specifies the decay ratio following a set point change. The traditional definition of decay ratio is the ratio of the deviation from set point at the second peak after a set point change to the deviation at the first peak. This is depicted in Figure 6.1a. Occasionally, the set point response is such that this definition is not useful. A better definition of decay ratio is the ratio of the difference between the second peak and its succeeding valley to the difference between the first peak and its succeeding valley. [1] This is depicted in Figure 6.1b. This definition, though more cumbersome, will work in all cases. Most of the time, however, the simpler and more widely used definition depicted by Figure 6.1a will suffice.

The decay ratio can also be defined for a disturbance or load upset. For a step change in load, the behavior depicted in Figure 6.1c is typical. Here, the decay ratio must be determined by the ratio of peak-to-valley differences. A load upset response like that depicted in Figure 6.1d is somewhat unusual for most processes, but is typical of the load upset response of level control loops.

One well-known criterion for controller tuning is a decay ratio of one-fourth following a set point change. This is also called "quarter-wave decay," "quarter-wave damping," and "quarter-amplitude decay." This criterion states that if...

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Topics of Interest

TUNING FOR SELF-REGULATING PROCESSES Because self-regulating and non-self-regulating processes have a different character, the tuning procedures that are applicable to one may not be applicable to...

Practice Overview Proper controller tuning is the largest, quickest, and least expensive improvement one can make in the basic control system to decrease process variability. The detrimental effects...

4.2 Non-Model Specific 4.2.1 Ideal controller Table 68: PID controller tuning rules non-model specific Rule K c T i T d Comment Ultimate cycle Ziegler and Nichols (1942). [0.6K u, K u] 0.5T u...

4.1 FOLPD Model 4.1.1 Ideal controller Table 44: PID controller tuning rules FOLPD model Rule K c T i T d Comment Process reaction Callender et al. (1935/6). Model: Method 1 [1] 1.418 ? m...

7.1 FUNDAMENTAL CONCEPTS OF CORRELATIVE TECHNIQUES AND REVIEW OF ZERO-MEMORY SYSTEMS The key assumption stipulated in the Nyquist theorems [7.4] is that the ISI at the sampling and the transition...