• DocumentCode
    3427008
  • Title

    Direct dynamic visual servoing at 1 kHz by using the product as 1.5D encoder

  • Author

    de Best, J.J.T.H. ; van de Molengraft, M.J.G. ; Steinbuch, M.

  • Author_Institution
    Control Syst. Technol. Group, Eindhoven Univ. of Technol., Eindhoven, Netherlands
  • fYear
    2009
  • fDate
    9-11 Dec. 2009
  • Firstpage
    361
  • Lastpage
    366
  • Abstract
    This paper focusses on direct dynamic visual servoing at high sampling rates for machines used for the production of products that inherently consist of equal features placed in a repetitive pattern. A mechanical system is controlled on the basis of vision only. In contrast to kinematic visual servoing approaches, we do not use a hierarchical control structure. More specifically, the motor inputs are driven directly by the vision controller without the intervention of low level joint controllers. The product in view consists of a repetitive pattern, which is used as a 1.5D encoder purely on the basis of vision. Using fast image processing and a prediction based on a steady-state Kalman filter a 1 kHz direct visual servoing setup is created capable of using the repetitive pattern as a 1.5D encoder with an accuracy of 2 ¿m. The design is validated on an experimental setup.
  • Keywords
    Kalman filters; computer vision; image coding; machine tools; production engineering computing; visual servoing; 1.5D encoder; direct dynamic visual servoing; fast image processing; frequency 1 kHz; hierarchical control structure; kinematic visual servoing approach; low level joint controllers; machine sampling rate; mechanical system; steady-state Kalman filter; vision controller; Automatic control; Automation; Cameras; Control systems; Kinematics; Mechanical systems; Position measurement; Production; Velocity control; Visual servoing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2009. ICCA 2009. IEEE International Conference on
  • Conference_Location
    Christchurch
  • Print_ISBN
    978-1-4244-4706-0
  • Electronic_ISBN
    978-1-4244-4707-7
  • Type

    conf

  • DOI
    10.1109/ICCA.2009.5410329
  • Filename
    5410329