This paper describes how observer-based techniques for intelligent fault detection were applied to monitoring an active suspension control system in an experimental articulated heavy vehicle. The aim was to define a practical method for detecting faults, taking into account the nonlinearities of the vehicle. The experimental vehicle was divided conceptually into subsystems, namely the passive dynamics of the trailer, the dynamics of the hydraulic actuators, and the expected response of the closed-loop system. A linear dynamic model was designed for each subsystem. A fault detection observer was then designed for each dynamic model. The observer feedback gains were chosen to optimise estimation by the observer residual of specified errors on the output measurements. The observer residuals were then normalised and combined logically to provide a fault diagnosis. The performance of the fault detection scheme is demonstrated in the case of sensor faults and changes in the operation of the active control system.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Application of observer-based fault detection in vehicle roll control


    Additional title:

    Anwendung der beobachtergestützten Fehlererkennung bei Fahrzeugrollregelungssystemen


    Contributors:
    Jeppesen, B.P. (author) / Cebon, D. (author)

    Published in:

    Vehicle System Dynamics ; 47 , 4 ; 465-495


    Publication date :

    2009


    Size :

    31 Seiten, 24 Bilder, 6 Tabellen, 25 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Application of observer-based fault detection in vehicle roll control

    Jeppesen, B. P. / Cebon, D. | Taylor & Francis Verlag | 2009


    Application of observer-based fault detection in vehicle roll control

    Jeppesen,B.P. / Cebon,D. / ITW,Instrom,GB et al. | Automotive engineering | 2009



    Robust Observer Roll Rate Sensor Fault Detection

    Kerstens, Wesley | SAE Technical Papers | 2017