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

doi:10.1016/j.cjche.2016.07.003

›› 2017, Vol. 25 ›› Issue (2): 193-201.DOI: 10.1016/j.cjche.2016.07.003

• Process Systems Engineering and Process Safety • 上一篇下一篇

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

Ping Yuan¹, Bi Zhang¹, Zhizhong Mao^1,2

1 College of Information Science & Engineering, Northeastern University, Shenyang 110819, China;
2 State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China

收稿日期:2016-04-11 修回日期:2016-07-06 出版日期:2017-02-28 发布日期:2017-03-14
通讯作者: Bi Zhang
基金资助:
Supported by the National Natural Science Foundation of China (61473072).

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

Ping Yuan¹, Bi Zhang¹, Zhizhong Mao^1,2

1 College of Information Science & Engineering, Northeastern University, Shenyang 110819, China;
2 State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China

Received:2016-04-11 Revised:2016-07-06 Online:2017-02-28 Published:2017-03-14
Supported by:
Supported by the National Natural Science Foundation of China (61473072).

摘要/Abstract

摘要： 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.

关键词: Wiener systems, Adaptive control, Uncertainties, Stability, CSTR

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.

Key words: Wiener systems, Adaptive control, Uncertainties, Stability, CSTR

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.

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

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

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