• DocumentCode
    2381339
  • Title

    Traction force distribution on omni-directional four wheel independent drive electric vehicle

  • Author

    Lam, Tin Lun ; Xu, Yangsheng ; Xu, Guoqing

  • fYear
    2009
  • fDate
    12-17 May 2009
  • Firstpage
    3724
  • Lastpage
    3729
  • Abstract
    This paper proposes an optimal traction force distribution for omni-directional four wheel independent steering (4WIS) and four wheel independent drive (4WID) vehicle. The proposed force distribution algorithm is aimed to enhance the vehicle stability with minimum cost. The algorithm avoids the use of any feedback information of vehicle motion such as linear velocity as this information is difficult to measure accurately and the price of the measuring equipment is very high. As a result, the implementation cost can be reduced and at the same time avoid improper force distribution due to the inaccurate measured information. Moreover, the proposed algorithm does not involve any parameter tuning. It makes the algorithm easy to implement. The proposed algorithm can also be applied to any steering types of 4WID vehicle such as typical two wheel steering (2WS) as 4WIS is the general case of any steering configuration. Simulation results reveal that the performance of the proposed force distribution is superior to the uniform force distribution which is commonly used in 4WID vehicle.
  • Keywords
    electric vehicles; motion control; road vehicles; stability; four wheel independent drive electric vehicle; linear velocity; omni-directional electric vehicle; omni-directional four wheel independent steering vehicle; optimal traction force distribution; vehicle motion; vehicle stability; Costs; Drives; Electric vehicles; Feedback; Force measurement; Motion measurement; Stability; Vehicle driving; Velocity measurement; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
  • Conference_Location
    Kobe
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-2788-8
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2009.5152443
  • Filename
    5152443