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Robust Controller Design for Active Suspension Systems of Road Vehicles

[+] Author Affiliations
Shenjin Zhu, Yuping He

University of Ontario Institute of Technology, Oshawa, ON, Canada

Paper No. IMECE2017-70284, pp. V012T16A016; 7 pages
doi:10.1115/IMECE2017-70284
From:
  • ASME 2017 International Mechanical Engineering Congress and Exposition
  • Volume 12: Transportation Systems
  • Tampa, Florida, USA, November 3–9, 2017
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5847-9
  • Copyright © 2017 by ASME

abstract

The Linear Quadratic Gaussian (LQG) technique has been applied to the design of active vehicle suspensions (AVSs) for improving ride quality and handling performance. LQG-based AVSs have achieved good performance if an accurate vehicle model is available. However, these AVSs exhibit poor robustness when the vehicle model is not accurate and vehicle operating conditions vary. The H control theory, rooted in the LQG technique, specifically targets on robustness issues on models with parametric uncertainties and un-modelled dynamics. In this research, an AVS is designed using the H loop-shaping control, design optimization, and parallel computing techniques. The resulting AVS is compared against the baseline design through numerical simulations.

Copyright © 2017 by ASME

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