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8.9 Effect of Model Uncertainty and DisturbancesFor controller design purposes, we assumed that the model was perfect. In practice there is model uncertainty. Model uncertainty will be handled by detuning the filter parameter, l, for robustness. The Effect of Model Uncertainty on Setpoint ResponseConsider a setpoint change only; then We can see immediately that if the model is perfect Disturbance RejectionConsider a disturbance only; then Assume a load disturbance transfer function of the following form Indeed, often the load disturbance is really a disturbance to the process input, so the disturbance transfer function has dynamic behavior similar to the process transfer function. It turns out that a controller that is tightly tuned and works well for setpoint changes may fail miserably on handling disturbance rejection. This is shown by the following example. Example 8.7: First-Order ProcessHere we consider a first-order process model transfer function, with a time unit of minutes For simplicity, we assume a perfect model ( Figure 8-16. Setpoint response for Example 8.7, with l = 2 min.Disturbance rejection results are shown in Figure 8-17. Notice that there is a very slow response to the step load disturbance. This result is perhaps the greatest criticism of the standard IMC design procedure; it tends to lead to slow responses to load disturbances that occur at the process input. An improved IMC procedure for disturbance rejection is presented in the next section. Figure 8-17. Disturbance response for Example 8.7, with l = 2 min. |
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