• DocumentCode
    2463243
  • Title

    Stability and tracking properties in predictive control with adaptation for bilateral teleoperation

  • Author

    Yoshida, Kouei ; Namerikawa, Toru

  • Author_Institution
    Div. of Electr. Eng. & Comput. Eng., Kanazawa Univ., Kanazawa, Japan
  • fYear
    2009
  • fDate
    10-12 June 2009
  • Firstpage
    1323
  • Lastpage
    1328
  • Abstract
    This paper deals with an environment estimation based predictive control for teleoperation with communication time delay. In this predictive control framework, the delayed position tracking and non-delayed force reflection are attempted. The goal of this paper is to propose a new control method which guarantees the stability, the convergence of position tracking error to zero and the small force tracking error theoretically. Proposed control structure is the 3ch architecture with environment estimation based force prediction. In this proposed method, the master controller implements force control with environmental force prediction while the slave controller implements position and force control. The theoretical analysis shows the stability, the convergence of position error to zero and the small force tracking error. Experimental results show the effectiveness of the proposed method.
  • Keywords
    convergence; delays; force control; position control; predictive control; stability; telecontrol; tracking; bilateral teleoperation; communication time delay; convergence; delayed position tracking; environment estimation; environmental force prediction; force control; master controller; nondelayed force reflection; predictive control; small force tracking error; stability properties; tracking properties; Communication system control; Convergence; Delay effects; Delay estimation; Error correction; Force control; Master-slave; Predictive control; Reflection; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2009. ACC '09.
  • Conference_Location
    St. Louis, MO
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-4523-3
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2009.5160049
  • Filename
    5160049