The control strategy of AMT (automated mechanical transmission) is one of the most popular and heated-discussed problems in the research of automobile transmission. To realize the reasonable control on a vehicle, it is significant to meet the need of dynamics and economy, but it is more important to work out intelligence gearshift and control strategy accord with driver's operating intentions and realistic driving conditions. This paper builds up a tracing model of driver's intentions in the guidance of fuzzy control theory. The model has self-adaptation fuzzy features of tracing throttle and other parameters according to a vehicle's driving parameter and specific road status, and improves the function of fuzzy controller greatly. Furthermore, establish the shift decision-making based on ANFIS (adaptive network based fuzzy inference system) self-adaptation neural-fuzzy inference system. Design intelligent control shift strategies system of AMT according to summary driver experience, which can coordinate driver's behavior and wish. Thus, the vehicle's performances are improved greatly.


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    Title :

    Intelligent control for AMT based on driver's intention and ANFIS decision-making


    Contributors:


    Publication date :

    2008


    Size :

    6 Seiten, 9 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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