A self-tuning control method for Wiener nonlinear systems and its application to process control problems

Ping Yuan; Bi Zhang; Zhizhong Mao

doi:10.1016/j.cjche.2016.07.003

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A self-tuning control method for Wiener nonlinear systems and its application to process control problems

Process Systems Engineering and Process Safety | Updated：2026-01-06

- A self-tuning control method for Wiener nonlinear systems and its application to process control problems
- Chinese Journal of Chemical Engineering Vol. 25, Issue 2, Pages: 193-201(2017)
- Affiliations：
  
  1. College of Information Science & Engineering, Northeastern University,Shenyang,China,110819
  2. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University,Shenyang,China,110819
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2016.07.003
  CLC：
- Published：2017
- Accepted：
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Ping Yuan, Bi Zhang, Zhizhong Mao. A self-tuning control method for Wiener nonlinear systems and its application to process control problems[J]. , 2017, 25(2): 193-201.
DOI：

Ping Yuan, Bi Zhang, Zhizhong Mao. A self-tuning control method for Wiener nonlinear systems and its application to process control problems[J]. , 2017, 25(2): 193-201. DOI： 10.1016/j.cjche.2016.07.003.

摘要

Abstract

Many chemical processes can bemodeled asWienermodels

which consist of a linear dynamic subsystemfollowed by a static nonlinear block. In this paper

an effective discrete-time adaptive control method is proposed for Wiener nonlinear systems with uncertainties. The parameterization model is derived based on the inverse of the nonlinear function block. The adaptive control method is motivated by self-tuning control and is derived from a modified Clarke criterion function

which considers both tracking properties and control efforts. The uncertain parameters are updated by a recursive least squares algorithm and the control law exhibits an explicit form. The closed-loop systemstability properties are discussed. To demonstrate the effectiveness of the obtained results

two groups of simulation examples including an application to composition control in a continuously stirred tank reactor (CSTR) system are studied.

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