Speed ratio and clamping force are two of the metal-belt CVT control targets. Conventional control strategies can not correspond to the driver's intention or provide various driving environment. A fuzzy logic ratio control algorithm and a fuzzy logic clamping force control algorithm for a metal-belt CVT are proposed. Nevertheless, high-quality fuzzy control rule base and factors of FLC are difficult to gain because repeated tests and experts' experience are needed. Therefore, genetic algorithm (GA) is introduced to optimize the fuzzy control algorithms. Using the optimized fuzzy control algorithms, Metal-belt CVT control simulations were implemented. The results show that a faster response and better robustness can be gained when compared with those of the PID control.


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    Title :

    Application of Intelligent Control Optimized by Genetic Algorithm in Metal-belt CVT


    Additional title:

    Sae Technical Papers


    Contributors:
    Wu, Baoyu (author) / Xuexun, Guo (author) / Yan, Jun (author) / Sun, Qi (author)

    Conference:

    SAE 2010 World Congress & Exhibition ; 2010



    Publication date :

    2010-04-12




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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