Nonlinear PI Controllers Based on Low-Order Empirical Process Models
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- 作者：Robert J. Brendel ; Babatunde A. Ogunnaike ; and Prasad S. Dhurjati
- 刊名：Industrial & Engineering Chemistry Research
- 出版年：2003
- 出版时间：October 1, 2003
- 年：2003
- 卷：42
- 期：20
- 页码：4668 - 4677
- 全文大小：173K
- 年卷期：v.42,no.20(October 1, 2003)
- ISSN：1520-5045
文摘
Although virtually all industrially relevant processes exhibit nonlinear behavior, a significantnumber are still operated using linear controllers. Such controllers, especially those of theclassical single-loop PI(D) type, remain popular because they are relatively easy to design-they require very modest modeling efforts, and straightforward tuning rules abound-and theyare convenient to implement using standard hardware. In this paper, we present a techniquefor constructing nonlinear PI-type controllers using low-order empirical nonlinear models. Thesecontrollers, by design, retain the simplicity and structure of the familiar PI controllers but aremore effective over wider operating regimes and are thus capable of better performance onnonlinear processes. As part of the technique, we present a procedure for process characterizationfrom input/ouput data, as well as explicit extensions for implementation on multi-input multi-output processes. We demonstrate the controller design and implementation procedure onsimulations of industrially relevant SISO and MIMO processes.