• DocumentCode
    2387226
  • Title

    Trajectory tracking of wheeled robot based on iterative learning control

  • Author

    Guo Yu ; Hu Weili

  • fYear
    2004
  • fDate
    26-31 Aug. 2004
  • Firstpage
    228
  • Lastpage
    232
  • Abstract
    A kinematics model for a claws of wheeled robot is analyzed and built in this paper. The application of D-type iterative learning control in trajectory tracking of wheeled robot is studied. An iterative learning control algorithm and its convergent condition are given. This algorithm has advantages of simplicity and depending 1;~le on the model. The results of simulation show that the presented iterative learning control can solve the problems of trajectory tracking: for nonholonomic system successfully. The algorithm has good robustness to measuring parameter errors. By simulation it is proved that good tracking performance can be obtained.
  • Keywords
    Automatic control; Intelligent robots; Iterative algorithms; Mobile robots; Robot control; Robot kinematics; Robotics and automation; Trajectory; Turning; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Mechatronics and Automation, 2004. Proceedings. 2004 International Conference on
  • Conference_Location
    Chengdu, China
  • Print_ISBN
    0-7803-8748-1
  • Type

    conf

  • DOI
    10.1109/ICIMA.2004.1384194
  • Filename
    1384194