The paper presents implementation of PSO (Particle Swarm Optimization) to ANN-based speed controller tuning. Selected learning parameters are optimized according to the control objective function. A battery electric vehicle is considered as a potential plant for an adaptive speed controller. The need for adaptivity in the control algorithm is justified by variations of a total weight of the vehicle. A sizable section of the paper deals with selection of a combined objective function able to effectively evaluate the quality of a solution.


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    Title :

    Particle swarm optimization of artificial-neural-network-based on-line trained speed controller for battery electric vehicle


    Contributors:


    Publication date :

    2012


    Size :

    7 Seiten, 21 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English







    An On-Line Trained Adaptive Neural Controller

    Zhang, Y. / Sen, P. / Hearn, G. E. | British Library Online Contents | 1995