Title: Parameter identification of a suspension system and road disturbance estimation

Authors: P. Gaspar, Z. Szabo, J. Bokor

Addresses: Computer and Automation Research Institute, Hungarian Academy of Sciences, Kende u. 13-17, H-1111 Budapest, Hungary. ' Computer and Automation Research Institute, Hungarian Academy of Sciences, Kende u. 13-17, H-1111 Budapest, Hungary. ' Computer and Automation Research Institute, Hungarian Academy of Sciences, Kende u. 13-17, H-1111 Budapest, Hungary

Abstract: An identification method is presented for the parameters of a quasi Linear Parameter Varying (qLPV) model of a quarter car suspension system where non-linear components are taken into consideration. Because not all the variables necessary for the identification are measured, some numerical techniques need to be applied, e.g., the numerical integration of measured signals. It is also shown that the selection of the sampling time might be critical in this type of application. By using the result of this identification an algorithm is given for the road disturbance reconstruction. The road roughness estimation is based on this reconstructed signal.

Keywords: linear parameter varying control; LPV control; nonlinear modelling; robust control; uncertainty structure; road vehicles; parameter identification; vehicle suspension; road disturbance estimation; vehicle systems modelling; quarter car suspension; road roughness.

DOI: 10.1504/IJVSMT.2007.013891

International Journal of Vehicle Systems Modelling and Testing, 2007 Vol.2 No.2, pp.128 - 137

Published online: 01 Jun 2007 *

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