Identification of vehicle models and road roughness estimation

Peter Gaspar, Zoltan Szabo, Jozsef Bokor

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

An identification method is presented for the parameters of a quasi linear parameter varying model (qLPV) of a quarter car suspension system. In this model nonlinear components of the suspension system are taken into consideration. Since not all the variables necessary for the identification are available, 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 signal reconstruction. The road roughness estimation is based on this reconstructed signal for classification purposes by and an autoregressive-moving average model structure is used. Finally, demonstration examples show the results of the proposed approach.

Original languageEnglish
Pages (from-to)257-262
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume37
Issue number8
Publication statusPublished - 2004
EventIFAC/EURON Symposium on Intelligent Autonomous Vehicles - Lisbon, Portugal
Duration: Jul 5 2004Jul 7 2004

Keywords

  • Automotive control
  • Nonlinear models
  • Vehicle dynamics

ASJC Scopus subject areas

  • Control and Systems Engineering

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