Aiming at the complex coupling between the various subsystems in the current automobile suspension, an active suspension control method based on the multi-agent prediction algorithm is proposed; Taking the nonlinear two-degree-of-freedom active suspension model as the research object, a suspension multi-agent model is established, with the goal of improving vehicle ride comfort, a distributed predictive control optimization algorithm based on Nash optimization is proposed; Simulation results show, Two different road conditions are selected: docking road and separated road. The active suspension control method based on multi-agent prediction algorithm maintains good suspension control performance and improves the ride comfort of vehicle suspension to a certain extent.


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    Title :

    Active Suspension Control Based on Multi-agent Predictive Algorithm*


    Contributors:
    Zhang, Niaona (author) / He, Yang (author) / Whang, Yang (author) / Whang, Jieshu (author)


    Publication date :

    2020-12-18


    Size :

    367011 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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