吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (增刊1): 259-263.

• paper • Previous Articles     Next Articles

Generalized T-S fuzzy model predictive functional control based on genetic algorithm

DAI Wen-zhan1, YANG Ai-ping2, WANG Xiao1   

  1. 1. Institute of Automatic Control, Zhejiang Sci-Tech University, Hangzhou 310018, China;
    2. Foreign Languages School, Zhejiang University of Finance and Economics, Hangzhou 310018, China
  • Received:2011-04-27 Online:2011-09-01 Published:2011-09-01

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Abstract:

Generalized T-S fuzzy model predictive functional control based on genetic algorithm was given.Firstly,the center of fuzzy membership functions and the number of fuzzy rules were chosen by subtraction clustering.Secondly,the other premise parameters and the conclusion parameters of generalized T-S model fuzzy were identified by genetic algorithm.Thirdly,the system was controlled by predictive functional control algorithm.The proposed method was applied in PH neutralization process.The simulation results show that the overshoot of the proposed method is smaller,and the tracking ability is better.

Key words: automatic control technology, generalized T-S fuzzy model, genetic algorithm, predictive functional control, nonlinear system

CLC Number: 

  • TP273


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