• DocumentCode
    2220660
  • Title

    Predictive Washout Filter Design Using the Forward Kinematics and a Kalman Filter

  • Author

    Chen, Sung-Hua ; Fu, Li-Chen

  • Author_Institution
    Nat. Taiwan Univ., Taipei
  • fYear
    2007
  • fDate
    1-3 Oct. 2007
  • Firstpage
    420
  • Lastpage
    425
  • Abstract
    The simulators are often used to simulate the motion trajectories of vehicles and to provide the driving experience to the human operators without actual vehicle driving. Owing to the limited workspace of the typical motion platform, the washout filter is necessary to convert vehicle motion to limited motion while still maintaining sufficiently accurate human perception. To successfully perform the specified motion under such limited condition requires efficient workspace such that collision with hardware limit during the motion can be prevented. In this paper, we present a predictive washout filter based on the classical one plus a compensation term. The Kalman filter prediction approach is used to modify the simulator trajectory produced from the classical washout filter by moving the simulator properly in the workspace in a senseless manner. The simulator can show the same motion for operator in smaller workspace by this approach. In other words, more exciting motion can be performed in the same workspace.
  • Keywords
    Kalman filters; compensation; humanoid robots; manipulator kinematics; motion control; position control; vehicle dynamics; virtual reality; 6 DOF parallel manipulator; Kalman filter; compensation; forward kinematics; human operator driving experience; human perception; predictive washout filter design; vehicles motion trajectory simulation; virtual reality; Acceleration; Electronic mail; Humans; Kinematics; Low pass filters; Motion control; Predictive models; Trajectory; Vehicle driving; Virtual reality; Human perception; Kalman filter; Simulators; Washout filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 2007. CCA 2007. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-0442-1
  • Electronic_ISBN
    978-1-4244-0443-8
  • Type

    conf

  • DOI
    10.1109/CCA.2007.4389267
  • Filename
    4389267