• DocumentCode
    2041013
  • Title

    High speed visual servoing of a 6 DOF manipulator using MIMO predictive control

  • Author

    Gangloff, Jacques A. ; De Mathelin, Michel F.

  • Author_Institution
    Univ. Louis Pasteur, Strasbourg, France
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    3751
  • Abstract
    This paper presents a novel approach to model and control high speed 6 DOF visual servo loops. The modelling and control strategy takes into account the dynamics of a velocity controlled 6 DOF manipulator as well as a simplified model of the camera and acquisition system in order to increase the bandwidth of the servo loop. multi-input multi-output (MIMO) generalized predictive control (GPC) is used to optimally control the visual loop with respect to the proposed dynamic model. The visual sensor used in the experiments is a high speed camera that allows to acquire 120 noninterlaced images per second. With this camera, we achieve a sampling frequency of 120 Hz for the visual loop. Experimental results on a 6 DOF industrial robot are presented that validate the proposed model. They show drastic improvement of the loop performance with respect to more classical control strategies like PID type control
  • Keywords
    MIMO systems; manipulators; multivariable control systems; predictive control; robot vision; servomechanisms; 120 Hz; GPC; MIMO generalized predictive control; acquisition system; camera; high-speed visual servoing; industrial robot; optimal control; servo loop bandwidth; velocity-controlled 6-DOF manipulator dynamics; visual servo loop control; Bandwidth; Cameras; MIMO; Manipulator dynamics; Optimal control; Predictive models; Robot vision systems; Servomechanisms; Velocity control; Visual servoing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5886-4
  • Type

    conf

  • DOI
    10.1109/ROBOT.2000.845316
  • Filename
    845316