This paper presents a method for designing linear multivariable controllers in the frequency-domain for an intelligent controlled suspension system for a quarter-car model. The design methodology uses singular value inequalities and optimal control theory. The vehicle system is augmented with additional dynamics in the form of an integrator to affect the loop shapes of the system. The measurements are assumed to be obtained in a noisy state, and the optimal control gain and the Kalman filter gain are derived using system dynamics and noise statistics. A combination of singular value analysis, eigenvalue analysis, time response, and power spectral densities of random response is used to describe the performance of the active suspension systems.


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    Title :

    Linear Quadratic Gaussian Control of a Quarter-Car Suspension


    Contributors:

    Published in:

    Vehicle System Dynamics ; 32 , 6 ; 479-497


    Publication date :

    1999-12-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Linear quadratic Gaussian control of a quarter-car suspension

    Elmadany, M.M. / Abduljabbar, Z.S. | Tema Archive | 1999


    Linear quadratic gaussian control of a quarter-car suspension

    Elmadany,M.M. / Abduljabbar,Z.S. / King Saud Univ.,SA | Automotive engineering | 1999



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