This paper provides a new method to solve the problem of suspension system state estimation using a Kalman Filter (KF) under various road conditions. Due to the fact that practical road conditions are complex and uncertain, the influence of the system process noise variance and measurement noise covariance on the estimation accuracy of the KF is first analysed. To accurately estimate the road condition, a new road classification method through the vertical acceleration of sprung mass is proposed, and different road process variances are obtained to tune the system’s variance for the application of the KF. Then, road classification and KF are combined to form an Adaptive Kalman Filter (AKF) that takes into account the relationship of different road process noise variances and measurement noise covariances under various road conditions. Simulation results show that the proposed AKF algorithm can obtain a high accuracy of state estimation for a suspension system under varying International Standards Organisation road excitation levels.


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    Titel :

    Suspension system state estimation using adaptive Kalman filtering based on road classification


    Beteiligte:
    Wang, Zhenfeng (Autor:in) / Dong, Mingming (Autor:in) / Qin, Yechen (Autor:in) / Du, Yongchang (Autor:in) / Zhao, Feng (Autor:in) / Gu, Liang (Autor:in)

    Erschienen in:

    Vehicle System Dynamics ; 55 , 3 ; 371-398


    Erscheinungsdatum :

    04.03.2017


    Format / Umfang :

    28 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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    Road Slope and Vehicle Mass Estimation Using Kalman Filtering

    Lingman, Peter / Schmidtbauer, Bengt | Taylor & Francis Verlag | 2002


    Real Time Estimation of Vehicle Suspension Characteristics Using Kalman Filtering

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