A grey-box identification of an LPV vehicle model with side slip angle estimation

Research output: Conference contribution

Abstract

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

Original languageEnglish
Title of host publication2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
DOIs
Publication statusPublished - dec. 1 2007
Event2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM - Zurich, Switzerland
Duration: szept. 4 2007szept. 7 2007

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Other

Other2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
CountrySwitzerland
CityZurich
Period9/4/079/7/07

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications
  • Electrical and Electronic Engineering

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    Gáspár, P., Szabó, Z., & Bokor, J. (2007). A grey-box identification of an LPV vehicle model with side slip angle estimation. In 2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM [4412525] (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM). https://doi.org/10.1109/AIM.2007.4412525