Linear matrix inequality (LMI) methods, novel techniques in solving optimisation problems, were introduced as a unified approach for vehicle's active suspension system controller design. LMI methods were used to provide improved and computationally efficient controller design techniques. The active suspension problem was formulated as a standard convex optimisation problem involving LMI constraints that can be solved efficiently using recently developed interior point optimisation methods. An LMI based controller for a vehicle system was developed. The controller design process involved setting up an optimisation problem with matrix inequality constraints. These LMI constraints were derived for a vehicle suspension system. The resulting LMI controller was then tested on a quarter-car model using computer simulations. The LMI controller results were compared with an optimal PID controller design solution. The LMI controller was further tested by incorporating a nonlinear term in the vehicle's suspension model; the LMI's controller degraded response was enhanced by using gain-scheduling techniques. The LMI controller with gain-scheduling gave good results in spite of the unmodelled dynamics in the suspension system, which was triggered by large deflections due to off-road driving.


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    Titel :

    Linear matrix inequality based control of vehicle active suspension system


    Beteiligte:
    Abdalla, M. O. (Autor:in) / Al Shabatat, N. (Autor:in) / Al Qaisi, M. (Autor:in)

    Erschienen in:

    Vehicle System Dynamics ; 47 , 1 ; 121-134


    Erscheinungsdatum :

    2009-01-01


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





    Linear matrix inequality based control of vehicle active suspension system

    Abdalla,M.O. / Shabatat,N.A. / Qaisi,M.A. et al. | Kraftfahrwesen | 2009




    Optimal linear preview control of active vehicle suspension

    Hac,A. / State Univ.of New York,Dep.of Mechanical Engineering,US | Kraftfahrwesen | 1992