Structure Selection and LPV Model Identification of a Car Steering Dynamics

Gábor Rödönyi, Péter Kőrös, Dániel Pup, Alexandros Soumelidis, Z. Szabó, József Bokor

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A Linear Parameter-Varying (LPV), discrete-time black box model of an electric power assisted steering system of a passenger car is identified from open-loop step response measurement data. The goal is to provide a nominal model for control design and analysis that is able to describe the principal characteristics of the system in the whole region of steering angle and speed range of 3 to 30 km/h. Examining a set of experimental data by using classical linear time-invariant black box modeling and validation techniques, the structure of the LPV model is determined. The parameters of the model are identified based on minimizing a quadratic error criterion by nonlinear optimization algorithms.

Original languageEnglish
Pages (from-to)1086-1091
Number of pages6
JournalIFAC-PapersOnLine
Volume51
Issue number15
DOIs
Publication statusPublished - Jan 1 2018

Keywords

  • automotive control
  • black box modeling
  • electric power steering
  • linear parameter varying models
  • steering system dynamics
  • System identification

ASJC Scopus subject areas

  • Control and Systems Engineering

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