Active safety is an interesting issue in the case of motorcycles. In this study, an intelligent integrated fuzzy/optimal controller is proposed to enhance motorcycle handling and safety. This controller consists of two layers. In the lower level, there are 13 individual LQR (Linear Quadratic Regulator) strategies which each one has been designed for a specific region of the performance motorcycle dynamics. These regions have been extracted from the tyre characteristics curve. In the upper layer, a fuzzy composer has been utilised to manage the participation level of each of the LQR controllers in the final controller output. Numerous simulations have been performed and their results show that the fuzzy/optimal controller improves the dynamic behaviour of the motorcycle.


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    Title :

    Integrated fuzzy-optimal motorcycle dynamic control


    Contributors:

    Published in:

    Vehicle System Dynamics ; 48 , sup1 ; 505-524


    Publication date :

    2010-12-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




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