• DocumentCode
    2913578
  • Title

    How to compensate stick-slip friction in neural velocity force control (NVFC) for industrial manipulators

  • Author

    Dapper, M. ; Zahn, V. ; Maass, R. ; Eckmiller, R.

  • Author_Institution
    Dept. of Comput. Sci., Bonn Univ., Germany
  • Volume
    4
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    3128
  • Abstract
    We present a new design of hybrid force/position control NVFC capable of friction-compensation, which is a mandatory requirement in industrial applications for precise tracking of hard surfaces with desired contact force. The control architecture consists of an outer-loop velocity controller and an inner-loop adaptive hybrid force/position controller, which compensates the friction of the manipulators joints, significantly improving the force tracking performance during slow movements. The cascaded velocity controller ensures the precise approach during neural force/position control with a reduced bounce into the unknown surface, which is a demanding requirement for tasks like deburring or chamfering. The resulting performance of the force control system is illustrated in simulations, and is consistent with velocity/force control experiments on a 6-DOF industrial manipulator controlled with a PC-based real-time control system
  • Keywords
    adaptive control; compensation; force control; friction; industrial manipulators; machining; neurocontrollers; position control; real-time systems; tracking; velocity control; adaptive control; chamfering; deburring; force control; friction-compensation; industrial manipulators; neurocontrol; position control; real-time system; stick-slip friction; tracking; velocity control; Adaptive control; Deburring; Electrical equipment industry; Force control; Friction; Industrial control; Position control; Programmable control; Tracking; Velocity control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5180-0
  • Type

    conf

  • DOI
    10.1109/ROBOT.1999.774074
  • Filename
    774074