Various active safety systems proposed for articulated heavy goods vehicles (HGVs) require an accurate estimate of vehicle sideslip angle. However in contrast to passenger cars, there has been minimal published research on sideslip estimation for articulated HGVs. State-of-the-art observers, which rely on linear vehicle models, perform poorly when manoeuvring near the limits of tyre adhesion. This paper investigates three nonlinear Kalman filters (KFs) for estimating the tractor sideslip angle of a tractor–semitrailer. These are compared to the current state-of-the-art, through computer simulations and vehicle test data. An unscented KF using a 5 degrees-of-freedom single-track vehicle model with linear adaptive tyres is found to substantially outperform the state-of-the-art linear KF across a range of test manoeuvres on different surfaces, both at constant speed and during emergency braking. Robustness of the observer to parameter uncertainty is also demonstrated.


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    Titel :

    Sideslip estimation for articulated heavy vehicles at the limits of adhesion


    Beteiligte:
    Morrison, Graeme (Autor:in) / Cebon, David (Autor:in)

    Erschienen in:

    Vehicle System Dynamics ; 54 , 11 ; 1601-1628


    Erscheinungsdatum :

    2016-11-01


    Format / Umfang :

    28 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Sideslip estimation for articulated heavy vehicles at the limits of adhesion

    Morrison,G. / Cebon,D. / Cambridge Univ.,US | Kraftfahrwesen | 2016




    Parameter and state estimation for articulated heavy vehicles

    Cheng, Caizhen / Cebon, David | Taylor & Francis Verlag | 2011