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    Linear Quadratic Gaussian Optimal Control Strategy for Four-Wheel Steering Vehicle

    Linear Quadratic Gaussian Optimal Control Strategy for Four-Wheel Steering Vehicle


    To utilize the advantages of four-wheel steering (4WS) technology in improving the vehicle handling, an adaptive gain schedule (linear Quadratic Gaussian, LQG) control strategy based on vehicle speed estimation is proposed. In this control strategy, the vehicle speed is selected as the gain schedule variable. The controller parameter can adaptively vary with operation points of vehicle speed so that the optimal control can be achieved at each operation point. The wheels steering response is simulated when the vehicle speed changes. The simulation results show that the proposed control strategy can achieve the estimation of the vehicle speed accurately. Compared with the conventional control strategy, the transient response overshoot of the proposed steering controller is smaller and the stability time is shorter, thereby improving the handing of vehicle steering.

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    Title :

    Linear Quadratic Gaussian Optimal Control Strategy for Four-Wheel Steering Vehicle

    Additional title:

    Lect. Notes Electrical Eng.

    Contributors:
    Chen, Yan (author) / Chen, Wenqiang (author) / Wei, Xingmin (author) / Zhao, Fuquan (author)
    Published in:

    Proceedings of the FISITA 2012 World Automotive Congress ; Chapter : 59 ; 641-650

    Lecture Notes in Electrical Engineering ; 195

    Publication date :

    2012-11-15

    Size :

    10 pages

    ISBN :

    978-3-642-33835-9 , 978-3-642-33834-2

    ISSN :

    1876-1119 , 1876-1100

    DOI :

    https://doi.org/10.1007/978-3-642-33835-9_59

    Type of media :

    Article/Chapter (Book)

    Type of material :

    Electronic Resource

    Language :

    English

    Keywords :

    Four-wheel steering , Vehicle speed estimation , Extended Kalman filter , Linear quadratic Gaussian optimal control , Adaptive gain schedule Engineering , Automotive Engineering , Engineering Design , Structural Materials , Electrical Engineering

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