The main objective of designed the controller for a vehicle suspension system is to reduce the discomfort sensed by passengers whicharises from road roughness and to increase the ride handling associated with the pitching and rolling movements. This necessitates a very fastand accurate controller to meet as much control objectives, as possible, this paper deals with an artificial intelligence Neural Control technique todesign a robust controller. The advantage of this controller is that it can handle the nonlinearities faster than other conventional controllers. Theapproach of the proposed controller is to minimize the vibration on each corner of vehicle by generating suitable control signals. This controlsignals will be used as input to the hydraulic actuators which will generate appropriate control forces to improve the vehicle performances. A fullvehicle nonlinear active suspension system with hydraulic actuators is introduced and tested. The robustness of the proposed controller is beingassessed by comparing with an optimal Fractional Order PIiDd (FOPID) controller. The results show that intelligent neural controller haveimproved dynamic response measured by a decreased cost function. Keywords: Full vehicle, Nonlinear Active Suspension System with Hydraulic Actuators, Neural Controller.


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    Title :

    Design Neural Control System for Full Vehicle Nonlinear Active Suspension with Hydraulic Actuators


    Contributors:

    Publication date :

    2017-01-13


    Remarks:

    doi:10.26483/ijarcs.v2i2.402
    International Journal of Advanced Research in Computer Science; Vol 2, No 2 (2011): March-April 2011; 266-274 ; 0976-5697 ; 10.26483/ijarcs.v2i2



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629



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