The fuzzy control does not need accurate mathematics model, and has the feature of simple implementation and good control effect. But there isn't a systematic design method, and it's more difficult to adjust fuzzy rules because of the influence of subjective factors. To solve the problem, a method using improved differential evolution algorithm to optimize fuzzy control rules is presented in this paper. The optimization process is realized by using matlab procedure to the two-tank system and the simulation result suggests that, the control qualities of fuzzy controller, of which the control rules have been optimized, has been much improved.


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    Title :

    Optimization of fuzzy control rules based on differential evolution algorithm


    Contributors:
    Shuai, Li (author) / Wei, Sun (author)


    Publication date :

    2014-08-01


    Size :

    122335 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English