• DocumentCode
    3289733
  • Title

    A method to estimate the lateral tire force and the sideslip angle of a vehicle: Experimental validation

  • Author

    Doumiati, M. ; Victorino, A. ; Charara, A. ; Lechner, D.

  • Author_Institution
    Heudiasyc Lab., Univ. de Technol. de Compiegne, Compiégne, France
  • fYear
    2010
  • fDate
    June 30 2010-July 2 2010
  • Firstpage
    6936
  • Lastpage
    6942
  • Abstract
    The motion of a vehicle is governed by the forces generated between the tires and the road. Knowledge of these dynamic variables is important for vehicle control systems that aim to enhance vehicle stability and passenger safety. Unfortunately, it is difficult to obtain these data because of technical and economic reasons, therefore, they must be estimated. This study introduces a new estimation process for lateral tire/road forces and vehicle´s sideslip angle. The proposed method presents many benefits over the existing state-of-art works, within the dynamic estimation framework. One of these major contributions consists of evaluating the lateral tire forces at each tire and not per axle. The proposed estimation method is derived from the Extended Kalman filter and is based on the dynamic response of a vehicle instrumented with potentially integrable sensors. The performance of this concept is tested and compared to real experimental data using a laboratory car. Experimental results show that the proposed approach is a promising technique to provide accurate estimations of vehicle dynamic states.
  • Keywords
    Kalman filters; road vehicles; tyres; vehicle dynamics; extended Kalman filter; lateral tire-road force estimation; vehicle dynamics; vehicle motion; vehicle sideslip angle; vehicle stability; Axles; Control systems; Instruments; Road vehicles; Stability; State estimation; Testing; Tires; Vehicle dynamics; Vehicle safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • Conference_Location
    Baltimore, MD
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5531319
  • Filename
    5531319