In this paper, we will present a nonlinear-model-based adaptive semiactive control algorithm developed for magnetorheological (MR) suspension systems exposed to broadband nonstationary random vibration sources that are assumed to be unknown or not measurable. If there exist unknown and∕or varying parameters of the dynamic system such as mass and stiffness, then the adaptive algorithm can include on-line system identification such as a recursive least-squares method. Based on a nonparametric MR damper model, the adaptive system stability is proved by converting the hysteresis inherent with MR dampers to a memoryless nonlinearity with sector conditions. The convergence of the adaptive system, however, is investigated through a linearization approach including further numerical illustration of specific cases. Finally the simulation results for a magnetorheological seat suspension system with the suggested adaptive control are presented. The results are compared with low-damping and high-damping cases, and such comparison further shows the effectiveness of the proposed nonlinear model-based adaptive control algorithm for damping tuning.
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October 2005
Technical Papers
An Adaptive Semiactive Control Algorithm for Magnetorheological Suspension Systems
Xubin Song, Ph.D.,
Xubin Song, Ph.D.
Principal Engineer
Eaton Corp
e-mail: xubinsong@eaton.com
Innovation Center
, 26201 Northwestern Highway, Southfield, MI 48076
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Mehdi Ahmadian, Ph.D.,
Mehdi Ahmadian, Ph.D.
Professor and Director
Advanced Vehicle Dynamics Laboratory, Department of Mechanical Engineering,
Virginia Polytechnic Institute and State University
, Blacksburg, VA 24060-0238
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Steve Southward, Ph.D.,
Steve Southward, Ph.D.
Thomas Lord Research Center,
Lord Corporation
, 110 Lord Dr., Cary, NC 27511-7900
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Lane R. Miller, Ph.D.
Lane R. Miller, Ph.D.
Director
Thomas Lord Research Center,
Lord Corporation
, 110 Lord Dr., Cary, NC 27511-7900
Search for other works by this author on:
Xubin Song, Ph.D.
Principal Engineer
Eaton Corp
Innovation Center
, 26201 Northwestern Highway, Southfield, MI 48076e-mail: xubinsong@eaton.com
Mehdi Ahmadian, Ph.D.
Professor and Director
Advanced Vehicle Dynamics Laboratory, Department of Mechanical Engineering,
Virginia Polytechnic Institute and State University
, Blacksburg, VA 24060-0238
Steve Southward, Ph.D.
Thomas Lord Research Center,
Lord Corporation
, 110 Lord Dr., Cary, NC 27511-7900
Lane R. Miller, Ph.D.
Director
Thomas Lord Research Center,
Lord Corporation
, 110 Lord Dr., Cary, NC 27511-7900J. Vib. Acoust. Oct 2005, 127(5): 493-502 (10 pages)
Published Online: January 28, 2005
Article history
Received:
July 3, 2003
Revised:
January 28, 2005
Citation
Song, X., Ahmadian, M., Southward, S., and Miller, L. R. (January 28, 2005). "An Adaptive Semiactive Control Algorithm for Magnetorheological Suspension Systems." ASME. J. Vib. Acoust. October 2005; 127(5): 493–502. https://doi.org/10.1115/1.2013295
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