Adaptive decentralized PID controllers design using JITL modeling methodology

被引：17

作者：

Yang, Xin ^{[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, Dept Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai 200072, Peoples R China

来源：

JOURNAL OF PROCESS CONTROL | 2012年 / 22卷 / 09期

基金：

中国国家自然科学基金; 高等学校博士学科点专项科研基金;

关键词：

Decentralized PID controller; Lyapunov method; Multivariable systems; Just-in-Time Learning; NONLINEAR PROCESS-CONTROL; LYAPUNOV APPROACH; NEURAL-NETWORKS; SYSTEMS; REACTOR; IDENTIFICATION; PLANT;

D O I：

10.1016/j.jprocont.2012.05.018

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, an adaptive decentralized PID design is developed for multivariable systems. In the proposed design, the controller parameters are adjusted by an updating algorithm derived based on the Lyapunov method such that the predicted tracking error converges asymptotically. Toward this end, the Just-in-Time Learning method is incorporated into the proposed design to provide the information required for the updating algorithm. Simulation results illustrate that the proposed design achieves better control performance than its corresponding benchmark designs reported in the literature. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：1531 / 1542

页数：12

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