Multivariable adaptive fuzzy predictive control based on T-S model

被引：0
|
作者：
Liu F.-C. [1 ]
Ren L.-N. [1 ]
Lu P.-L. [2 ]
机构：
[1] Key Lab. of Industrial Computer Control Engineering of Hebei Province, Yanshan Univ.
[2] Coll. of Automation, Beijing Inst. of Technology
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2010年 / 32卷 / 12期
关键词：
Adaptive control; Fast fuzzy clustering; Generalized predictive control; T-S model;
D O I：
10.3969/j.issn.1001-506X.2010.12.34
中图分类号：
学科分类号：
摘要：
A very good control effect algorithm of fuzzy predictive control based on nonlinear multivariable system is presented. Firstly, the nonlinear system of T-S model is identified by fast clustering and recursive least square method, and the linear model is gotten. Then the fuzzy generalized predictive controller based on linear system is designed to control the nonlinear object adaptively. The simulations for the variable nonlinear object with delay time and strong coupling show that this algorithm has good control effects.
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收藏
页码：2660 / 2663
页数：3
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