• DocumentCode
    3466902
  • Title

    A robust nonlinear of an Electric Vehicle in traction

  • Author

    Sallem, Souhir ; Chaabene, Maher ; Ben Ali Kamoun, M.

  • Author_Institution
    Unite de Rech. sur la Commande de Machines et Reseau de Puissance CMERP, Ecole Nat. d´´Ing. de Sfax, Sfax
  • fYear
    2009
  • fDate
    23-26 March 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper treats the traction control in electric vehicle driven by a doubly fed induction motor (DFIM). A robust nonlinear control law at the torque level is presented to cope with the unknown tire reaction force. A parameter estimation function is computed for the adaptive control of the system with unknown friction forces. The consequent generated torque control law is implemented in the DFIM. A vector control technique of a DFIM is proposed. The approach is based on a flux orientation of the rotor with scalar control on the stator. The control strategy achieves the aim of traction control and maintains the slip ratio at constant value 0.2 when road surface varies.
  • Keywords
    adaptive control; electric vehicles; friction; induction motor drives; machine vector control; nonlinear control systems; parameter estimation; road vehicles; robust control; torque control; traction motor drives; DFIM; adaptive control; doubly fed induction motor; electric vehicle; friction force; parameter estimation function; road surface; robust nonlinear control law; rotor flux orientation; stator control; torque control; traction control; vector control technique; Adaptive control; Electric vehicles; Force control; Friction; Induction motors; Parameter estimation; Robust control; Robustness; Tires; Torque control; adaptative sliding mode; doubly fed induction motor; electric vehicle; friction coefficient; slip ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Devices, 2009. SSD '09. 6th International Multi-Conference on
  • Conference_Location
    Djerba
  • Print_ISBN
    978-1-4244-4345-1
  • Electronic_ISBN
    978-1-4244-4346-8
  • Type

    conf

  • DOI
    10.1109/SSD.2009.4956740
  • Filename
    4956740