A grey-box identification of an LPV vehicle model for observer-based side slip angle estimation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

In this paper an adaptive observer-based method is proposed for the estimation of the side slip angle of road vehicles. The method is based on a Linear Parameter Varying (LPV) model of yaw-roll dynamics, which contains unknown parameters and time varying variables. In order to estimate the unknown parameters of the model a grey-box identification method is proposed. Since the adhesion coefficient changes during vehicle maneuvers this variable is estimated as a scheduling variable in the control-oriented LPV model. The three-step estimation procedure is illustrated through simulation examples.

Original languageEnglish
Title of host publicationProceedings of the American Control Conference
Pages2961-2966
Number of pages6
DOIs
Publication statusPublished - 2007
Event2007 American Control Conference, ACC - New York, NY, United States
Duration: Jul 9 2007Jul 13 2007

Other

Other2007 American Control Conference, ACC
CountryUnited States
CityNew York, NY
Period7/9/077/13/07

Fingerprint

Identification (control systems)
Adhesion
Scheduling

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

A grey-box identification of an LPV vehicle model for observer-based side slip angle estimation. / Gáspár, P.; Szabó, Z.; Bokor, J.

Proceedings of the American Control Conference. 2007. p. 2961-2966 4282629.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gáspár, P, Szabó, Z & Bokor, J 2007, A grey-box identification of an LPV vehicle model for observer-based side slip angle estimation. in Proceedings of the American Control Conference., 4282629, pp. 2961-2966, 2007 American Control Conference, ACC, New York, NY, United States, 7/9/07. https://doi.org/10.1109/ACC.2007.4282629
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