• DocumentCode
    165367
  • Title

    Fault tolerant control scheme based on active fault diagnosis for the path tracking control of a 4WD electric vehicle

  • Author

    Xian Zhang ; Cocquempot, V.

  • Author_Institution
    Lille 1 Univ. of Sci. & Technol., Villeneuve-d´Ascq, France
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    2189
  • Lastpage
    2195
  • Abstract
    This paper investigates the path tracking problem for an electric vehicle which has four electromechanical wheel systems under normal and faulty conditions. A fault-tolerant control scheme is proposed with considering the input saturation and certain actuator faults. From initial period, a passive fault-tolerant control is applied to achieve the tracking objective. When a fault happens, if some performances degrade below an acceptable level, an active fault diagnosis algorithm is implemented to precisely localize the faulty wheel and to estimate its fault gain. During this period, the reference input adjustment technique and the designed passive fault-tolerant controller will guarantee the active fault diagnosis implementation. With the faults information, an accommodated controller is designed to recover the degraded performance caused by the faults. Finally, simulations of traction engine faults in a RobuCar™ vehicle are conducted to illustrate the proposed method.
  • Keywords
    actuators; electric vehicles; fault tolerant control; traction; 4WD electric vehicle; RobuCar vehicle; active fault diagnosis algorithm; actuator faults; electromechanical wheel systems; fault gain estimation; fault tolerant control scheme; input saturation; passive fault-tolerant control; path tracking control; reference input adjustment technique; traction engine faults; Actuators; Fault tolerance; Fault tolerant systems; Mathematical model; Silicon; Vehicles; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control (ISIC), 2014 IEEE International Symposium on
  • Conference_Location
    Juan Les Pins
  • Type

    conf

  • DOI
    10.1109/ISIC.2014.6967647
  • Filename
    6967647