This paper presents a parametric study of two semiactive adaptive control algorithms through simulation: the non-model based skyhook control, and the newly developed model-based nonlinear adaptive vibration control. This study includes discussion of suspension model setup, dynamic analysis approach, and controller tuning. The simulation setup is from a heavy-duty truck seat suspension with a magneto-rheological (MR) damper. The dynamic analysis is performed in the time domain using sine sweep excitations without the need to linearize such a nonlinear semiactive system that is studied here. Through simulation, the effectiveness of both control algorithms is demonstrated for vibration isolation. The computation flops of the simulation in the SIMULINK environment are compared, and the adaptability is studied with respect to plant variations and different excitation profiles, both of which come across typically for vehicle suspension systems. The comparison shows that a new control approach is necessary that can take advantage of both studied control algorithms for industrial commercialization.


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    Title :

    Study of semiactive adaptive control algorithms with magneto-rheological seat suspension


    Additional title:

    Untersuchung halbaktiver Adaptivregelungsalgorithmen mit magnetorheologischer Sitzaufhängung


    Contributors:
    Song, X. (author) / Ahmadian, M. (author)


    Publication date :

    2004


    Size :

    12 Seiten, 18 Bilder, 9 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Study of semiactive adaptive control algorithms with magneto- rheological seat suspension

    Song,X. / Ahmadian,M. / Visteon,US et al. | Automotive engineering | 2004


    Study of Semiactive Adaptive Control Algorithms with Magneto-Rheological Seat Suspension

    Song, X. / Ahmadian, M. / Society of Automotive Engineers | British Library Conference Proceedings | 2004


    Study of Semiactive Adaptive Control Algorithms with Magneto-Rheological Seat Suspension

    Ahmadian, Mehdi / Song, Xubin | SAE Technical Papers | 2004


    Study of Semiactive Adaptive Control Algorithms with Magneto-Rheological Seat Suspension

    Song, X. / Ahmadian, M. | British Library Conference Proceedings | 2004


    Study of semiactive adaptive control algorithms with magneto-rheological seat suspension

    Song,X. / Ahmadian,M. / Visteon,US et al. | Automotive engineering | 2004