• DocumentCode
    2915887
  • Title

    Electronic Differential Control with Vehicle State Observer Based on Extended Kalman Filter

  • Author

    Jun, Li ; Jie-li, Duan ; Shen, Tian

  • Author_Institution
    Coll. of Eng., South China Agric. Univ., Guangzhou, China
  • fYear
    2011
  • fDate
    19-20 Feb. 2011
  • Firstpage
    172
  • Lastpage
    175
  • Abstract
    The growing demands for high level of energy efficiency have given much new impetus to the development of electric vehicle in Agricultural Machines. To improve the performance of the state observer for an 8-DOF four-wheel vehicle, a state observer based on the Extended Kalman Filter is proposed. With the observer, the tire-road forces and the vehicle roll velocity are estimated accurately according to the simulation results. With the consideration of the nonlinear characters of tire and electric vehicle, the electronic differential controller is proposed to select the wheel slip ratios as the control tracking variables and distribute the torques to ensure the steering stability by using modified exponent approaching sliding mode control method. The proposed electronic differential controller is robust to improve the handling performance and control response of electric vehicle with the numerical verification.
  • Keywords
    Kalman filters; agricultural machinery; electric vehicles; energy conservation; nonlinear control systems; observers; off-road vehicles; robust control; steering systems; variable structure systems; 8 DOF four wheel vehicle; agricultural machine; electric vehicle; electronic differential control; extended Kalman filter; sliding mode control; steering stability; tire road force; vehicle roll velocity; vehicle state observer; wheel slip ratio; Electric vehicles; Kalman filters; Observers; Tires; Vehicle dynamics; Wheels; Extended Kalman Filter; Magic Formula tyre model; electrical differential control; sliding mode control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-61284-278-3
  • Electronic_ISBN
    978-0-7695-4350-5
  • Type

    conf

  • DOI
    10.1109/CDCIEM.2011.376
  • Filename
    5747790