• DocumentCode
    483816
  • Title

    A Computationally Intelligent Methodologies and Sliding Mode Control Based Traction control System for in-wheel driven EV

  • Author

    Zhengfeng, Ming ; Guangzheng, Ni

  • Author_Institution
    Xidian Univ., Xi´´an
  • Volume
    2
  • fYear
    2006
  • fDate
    14-16 Aug. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A traction control system based on computationally intelligent methodologies and sliding mode control is developed in this paper. The basic idea of the proposed strategy is that the controller provided with computationally intelligent system is trained by using the sliding mode control. Therefore, the controller can guarantee that the movement of the controlled system can follow the ideal moving tracks, the drawback of control chattering occurred in the classical sliding mode control can be alleviated. Moreover, the robustness of systems is improved. The numerical results validate the proposed model and method
  • Keywords
    control engineering computing; electric vehicles; learning (artificial intelligence); power engineering computing; traction; variable structure systems; computationally intelligent methodology; electric vehicle; in-wheel driven EV; sliding mode control; traction control; training; Competitive intelligence; Computational intelligence; Control systems; Delay; Intelligent systems; Mathematical model; Mathematics; Sliding mode control; Torque control; Vehicles; Electrical Vehicle (EV); Traction control (TC); computationally intelligent methodologies; sliding mode control (SMC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Motion Control Conference, 2006. IPEMC 2006. CES/IEEE 5th International
  • Conference_Location
    Shanghai
  • Print_ISBN
    1-4244-0448-7
  • Type

    conf

  • DOI
    10.1109/IPEMC.2006.4778159
  • Filename
    4778159