• DocumentCode
    3023314
  • Title

    Dynamic model and adaptive tracking controller for 4-Powered Caster Vehicle

  • Author

    Liu, Yong ; Jia, Yunyi ; Xi, Ning

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    4940
  • Lastpage
    4945
  • Abstract
    A new approach for adaptive torque distribution of 4-Powered Caster Vehicle (4-PCV) is presented on complex terrain without any additional sensor. The objective is that torques applied to wheels are dynamically redistributed based on the real time conditions of the whole wheel-ground interactions in order to track the desired trajectory. A novel approach based on the redundant actuated wheels is proposed to identify the status of the vehicle and the wheel slip ratio by only observing the velocity feedback from motors encoders. A dynamic model considering the wheel-ground interaction is described. Based on the slip ratio of the wheel joints and the null space of the operational space, control strategies are employed to redistribute the torques applied to the wheel joints so that each wheel can be self-adapted to meet a complex wheel-ground condition to eliminate slippage with high rate. Simulation results show the effectiveness of the proposed estimation approach and the performance of the torque distribution schemes.
  • Keywords
    adaptive control; mobile robots; position control; robot dynamics; tracking; 4-powered caster vehicle; adaptive torque distribution; adaptive tracking controller; motors encoders; redundant actuated wheels; velocity feedback; wheel ground interactions; wheel slip ratio; Adaptive control; Feedback; Force control; Mobile robots; Power system modeling; Programmable control; Torque control; Vehicle dynamics; Vehicles; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2010 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-5038-1
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2010.5509707
  • Filename
    5509707