• DocumentCode
    312685
  • Title

    Identification of friction for control at low velocities

  • Author

    Du, Hongliu ; Nair, Satish S.

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng., Missouri Univ., Columbia, MO, USA
  • Volume
    4
  • fYear
    1997
  • fDate
    4-6 Jun 1997
  • Firstpage
    2289
  • Abstract
    A systematic model-free methodology to identify and compensate for friction is proposed and is shown to be viable for a class of dynamic systems. Design of the proposed identifier for friction uses Gaussian networks and incorporates explicit performance bound information. The identifier is then used in a particular compensation strategy that provides error bound information. The proposed identification design has been validated using a hardware example case system. The methodology for identifying friction is systematic and uses minimal knowledge of the dynamics which is particularly attractive for a large class of low dimensional dynamic systems with friction
  • Keywords
    compensation; feedforward neural nets; friction; identification; mechanical variables control; Gaussian networks; compensation strategy; dynamic systems; error bound information; explicit performance bound information; friction; low velocities; systematic model-free methodology; Adaptive control; Aerodynamics; Aerospace engineering; Control system synthesis; Friction; Hardware; Laboratories; Neural networks; Nonlinear dynamical systems; Velocity control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1997. Proceedings of the 1997
  • Conference_Location
    Albuquerque, NM
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-3832-4
  • Type

    conf

  • DOI
    10.1109/ACC.1997.609023
  • Filename
    609023