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Design of an Active Suspension Control for a Four DOF Model Using Genetic Algorithm

[+] Author Affiliations
S. Gosselin-Brisson, M. Bouazara

University of Quebec at Chicoutimi

M. J. Richard

Laval University

Paper No. IMECE2005-79939, pp. 385-390; 6 pages
doi:10.1115/IMECE2005-79939
From:
  • ASME 2005 International Mechanical Engineering Congress and Exposition
  • Dynamic Systems and Control, Parts A and B
  • Orlando, Florida, USA, November 5 – 11, 2005
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 0-7918-4216-9 | eISBN: 0-7918-3769-6
  • Copyright © 2005 by ASME

abstract

This paper presents the design of an active suspension controller for an automotive vehicle. A four degrees of freedom linear model is used to represent a vehicle with different front and rear characteristics. Filtered road and acceleration inputs are applied to the model to simulate real life use. The performance criterion are filtered to include frequency sensitivity and weighted based on a standard passive suspension system. Independent front and rear controllers are optimised with the genetic algorithm. The controller includes linear gains and frequency dependency to take advantage of these two different control methods. The number of sensors and the order of the filters are limited to facilitate implementation on a real vehicle.

Copyright © 2005 by ASME

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