Transition control using a state-shared model approach

被引:5
|
作者
Tian, Z [1 ]
Hoo, KA [1 ]
机构
[1] Texas Tech Univ, Dept Chem Engn, Lubbock, TX 79409 USA
关键词
model-reference adaptive control; nonlinear biological reactor; robust stability; non-minimal state representation;
D O I
10.1016/S0098-1354(03)00131-5
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Transition control is defined in this work as a type of control method that is employed when the plant transitions from one steady state to another as a result of a set point change. Recent approaches have relied on multiple models and centralized or decentralized controller designs to address this issue. This work introduces and develops a transition control framework that consists of multiple fixed and adaptive models within a state-shared non-minimal realization and an H-infinity controller design. The efficacy of this transition control framework is demonstrated on two nonlinear single-input single-output reactors in the face of modeling errors, parameter uncertainties and disturbances. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1641 / 1656
页数:16
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