• DocumentCode
    3221973
  • Title

    Sensor fault detection by sliding mode observer applied to an autonomous vehicle

  • Author

    Bouibed, K. ; Aitouche, A. ; Bayart, M.

  • Author_Institution
    Polytech-Lille, Univ. of Lille 1, Villeneuve d´´Ascq, France
  • fYear
    2009
  • fDate
    15-17 July 2009
  • Firstpage
    621
  • Lastpage
    626
  • Abstract
    This paper deals with sensors faults detection and isolation using method by observers. The principle is to reconstruct the state vector and measurements of the system by sliding mode observers and compare the estimated outputs with those measured. In this work, a multi observer´s technique is used. It consists on construction of many observers, at least one observer for each output (sensor measurement). Each observer must be robust to noises and to other uncertainties but sensitive to sensor faults. The residual is the estimation error witch is the difference between sensor measurement and its estimated. Without failure in the sensor, this residual remains around zero and if a fault is occurred, it deviates significantly from zero. This method is applied to an autonomous electric vehicle called RobuCar. Simulation results are given at the end to show the effectiveness of the approach.
  • Keywords
    electric vehicles; mobile robots; remotely operated vehicles; sensors; variable structure systems; RobuCar; autonomous electric vehicle; multiobserver technique; sensor fault detection; sensor fault isolation; sensor measurement; sliding mode observer; Electric vehicles; Fault detection; Laboratories; Mobile robots; Navigation; Observers; Pollution measurement; Redundancy; Remotely operated vehicles; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computational Tools for Engineering Applications, 2009. ACTEA '09. International Conference on
  • Conference_Location
    Zouk Mosbeh
  • Print_ISBN
    978-1-4244-3833-4
  • Electronic_ISBN
    978-1-4244-3834-1
  • Type

    conf

  • DOI
    10.1109/ACTEA.2009.5227853
  • Filename
    5227853