The problem of linear preview control of vehicle suspension is considered as a continuous time stochastic optimal control problem. In the proposed approach minimal a priori information about the road irregularities is assumed and measurement errors are taken into account. It is shown that estimation and control issues can be decoupled. The problem formulation and the analytical solution are given in a general form and hence they apply to other problems in which the system disturbances are unknown a priori, even in a stochastic sense, but some preview information is possible.

    The solution is applied to a two-degree-of-freedom (2-DOF) vehicle model. The effects of preview information on ride comfort, road holding, working space of the suspension and power requirements are examined in time and frequency domains. The results show that the greatest potential is for improving road holding properties. This effect could not have been observed in previous studies based on a 1-DOF vehicle model. It is also demonstrated that the presence of preview drastically reduces power requirements, thus relieving the performance versus actuator power dilemma.


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    Titel :

    Optimal Linear Preview Control of Active Vehicle Suspension


    Beteiligte:

    Erschienen in:

    Vehicle System Dynamics ; 21 , 1 ; 167-195


    Erscheinungsdatum :

    1992-01-01


    Format / Umfang :

    29 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt



    Optimal linear preview control of active vehicle suspension

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



    Optimal preview control of vehicle suspension

    Sasaki, M. / Kamiya, J. / Shimogo, T. | Tema Archiv | 1976


    An Optimal Linear Active Suspension with Finite Road Preview

    Thompson, A. G. / Davis, B R. / Pearce, C. E. M. | SAE Technical Papers | 1980


    Stochastic optimal preview control of a vehicle suspension

    Marzbanrad, Javad | Online Contents | 2004