This paper is based on the quarter car semi-active suspension system. Semi-active suspension systemproves to be a better choice in comparison with the passive and active systems keeping in view the inherentbenefits of better performance, light weight and cost effective design. The semi-active system is driven by a fuzzylogic controller that is based on the feedback of relative displacement of the suspension with respect to theroad disturbance and relative velocity across the damper. Fuzzy logic control can cope with the nonlinearitiesof system using heuristic rules. Three gains are incorporated in the system corresponding to theinputs and output of the controller. Particle swarm optimization method is utilized for its better convergenceand precision. The technique results in evaluation of appropriate gains that result in superior performanceof the designed system. The models are compared on the basis of suspension displacement and tire displacementfor ascertaining ride comfort and road handling attributes respectively.


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    Title :

    A NOVEL APPLICATION OF PARTICLE SWARM OPTIMIZATION TECHNIQUE IN SEMI-ACTIVE SUSPENSION SYSTEM CONTROL


    Contributors:

    Publication date :

    2012-12-31


    Remarks:

    doi:10.25211/jeas.v31i2.2595
    JOURNAL OF ENGINEERING AND APPLIED SCIENCES; Vol 31 No 2 (2012): Journal of Engineering and Applied Sciences (JEAS); 91-97 ; 2518-4571 ; 1023-862X



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629



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