Journal of Systems Engineering and Electronics ›› 2010, Vol. 32 ›› Issue (12): 2660-2663.doi: 10.3969/j.issn.1001-506X.2010.12.34

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Multivariable adaptive fuzzy predictive control based on T-S model

LIU Fu-cai1，REN Li-na1，LU Ping-li2   

  1. 1. Key Lab. of Industrial Computer Control Engineering of Hebei Province, Yanshan Univ., Qinhuangdao 066004， China；
    2. Coll. of Automation, Beijing Inst. of Technology, Beijing 100081, China
  • Online:2010-12-18 Published:2010-01-03

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Abstract:

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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