This paper presents a parallel design optimization method for multi-trailer articulated heavy vehicles (MTAHVs) with active safety systems (ASSs). It is a challenge to deal with the trade-off between high-speed stability and low-speed maneuverability. Evolutionary algorithms have been used for the design optimization of MTAHVs, but the computation efficiency is low. To address the problem, a parallel computing technique with a master–slave system is proposed. Active trailer steering, differential braking and anti-roll sub-systems are combined in an integrated ASS. Considering the interactions of Driver-Vehicle-ASS, the method simultaneously searches optimal active and passive variables of the ASS controllers, the driver model, and the trailers using a master–slave computing system. Simulation results indicate that the proposed method provides an effective approach to the design synthesis of MTAHVs with ASSs.


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    Title :

    Parallel Design Optimization of Articulated Heavy Vehicles with Active Safety Systems


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:


    Publication date :

    2012-11-23


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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