Self-tuning PID controllers based on the Lyapunov approach

被引：28

作者：

Kansha, Yasuki ^{[1
]}

Jia, Li ^{[2
]}

Chiu, Min-Sen ^{[1
]}

机构：

[1] Natl Univ Singapore, Dept Chem & Biomol Engn, Singapore 117576, Singapore

[2] Shanghai Univ, Coll Mechatron Engn & Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai 200072, Peoples R China

来源：

CHEMICAL ENGINEERING SCIENCE | 2008年 / 63卷 / 10期

关键词：

just-in-time learning; PID controller; Lyapunov method;

D O I：

10.1016/j.ces.2008.02.026

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

In this paper, a self-tuning PID controller using just-in-time learning (JITL) technique is proposed. A set of linear models obtained by the JITL provides the information required to adjust the parameters of PID controller. The self-tuning algorithm for the PID parameters is derived by a rigorous analysis based on the Lyapunov method such that the JITL's predicted tracking error converges asymptotically. Simulation results are presented to illustrate the proposed self-tuning PID controller and a comparison with its conventional counterparts is made. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：2732 / 2740

页数：9

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