Robust control based on neuro-fuzzy systems for a continuous stirred tank reactor

被引:0
|
作者
Liu, SR [1 ]
Yu, JS [1 ]
机构
[1] Ningbo Univ, Fac Informat Sci & Technol, Ningbo 315211, Peoples R China
来源
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年
关键词
neuro-fuzzy system; internal model control; PID control; robust control; chemical reactor;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper studies the control problem of the concentration for a continuously stirred tank reactor (CSTR) in which parameter uncertainty and system disturbance are considered. A double control scheme, based on the PID control law and the internal model control strategy, is studied. Because the controller constructed by the neuro-fuzzy model is not very accurate and leads to control performance degradation, the double control scheme is proposed. The experiment study shows that the double control scheme adopted can extend effectively the controllable range and give good robust tracking control performances.
引用
收藏
页码:1483 / 1488
页数:6
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