Adaptive IMC controller design using linear multiple models

被引:11
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
关键词
Just-in-time learning; Adaptive control; Internal model control; Lyapunov method; 2ND-ORDER VOLTERRA MODELS; NONLINEAR-SYSTEMS; CONTROL STRATEGY; REACTOR;
D O I
10.1016/j.jtice.2010.04.002
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In this paper, an adaptive IMC controller using just-in-time learning (JITL) technique for nonlinear process control is proposed. Based on a set of linear models obtained on-line by the JITL, not only the parameters of IMC controller are updated, but also IMC filter parameter is adjusted on-line by an updating algorithm derived based on the Lyapunov method to guarantee the convergence of JITL's predicted tracking error. Simulation results are presented to demonstrate the advantage of the proposed adaptive IMC design over its conventional counterparts. (C) 2010 Taiwan Institute of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:446 / 452
页数:7
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