This paper discusses the research conducted by the Army Research Laboratory (ARL) - Vehicle Technology Directorate (VTD) on advanced suspension control. ARL-VTD has conducted research on advanced suspension systems that will reduce the chassis vibration of ground vehicles while maintaining tire contact with the road surface. The purpose of this research is to reduce vibration-induced fatigue to the Warfighter as well as to improve the target aiming precision in theater.The objective of this paper was to explore the performance effectiveness of various formulations of the Generalized Predictive Control algorithm in a simulation environment. Each version of the control algorithm was applied to an identical model subjected to the same disturbance input and compared to a baseline passive suspension system. The control algorithms considered include a Generalized Predictive Controller (GPC) with Implicit Disturbances, GPC with Explicit Disturbances, and GPC with Preview Control. The suspension model used was a two-degree-of-freedom (2 DOF) quarter car model with a given set of vehicle parameters. The performance of the developed control algorithms were compared based on their effectiveness in controlling peak acceleration and overall average acceleration through a range of vehicle speed. The algorithms demonstrated significant improvements in the chassis acceleration of the quarter-car model.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Comparison of Performance Effectiveness of Generalized Predictive Control Algorithms Developed for a Simplified Ground Vehicle Suspension System


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Le, Dy (Autor:in) / Pusey, Jason (Autor:in) / Murugan, Muthuvel (Autor:in) / Brown, Ross K (Autor:in)

    Kongress:

    Commercial Vehicle Engineering Congress ; 2011



    Erscheinungsdatum :

    2011-09-13




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





    Comparison of Generalized Predictive Control Algorithms Using a Full Vehicle Multi-Body Dynamics Model

    Brown, R. / Mazza, M. / Le, D. et al. | British Library Conference Proceedings | 2012


    Comparison of Generalized Predictive Control Algorithms Using a Full Vehicle Multi-Body Dynamics Model

    Le, Dy / Mazza, Marcus / Murugan, Muthuvel et al. | SAE Technical Papers | 2012


    Simplified production-mooring system developed

    Arnaud, J. / Loire, R. / Pagezy, M. et al. | Tema Archiv | 1985


    PREDICTIVE SUSPENSION CONTROL FOR VEHICLE USING STEREO CAMERA SENSOR

    JOERG DEIGMOELLER / NILS EINECKE / HERBERT JANSSEN et al. | Europäisches Patentamt | 2017

    Freier Zugriff