• DocumentCode
    2084432
  • Title

    Nonlinear system identification of hydraulic actuator. Friction dynamics using a Hammerstein model

  • Author

    Kwak, Byung-Jae ; Yagle, Andrew E. ; Levitt, Joel A.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    4
  • fYear
    1998
  • fDate
    12-15 May 1998
  • Firstpage
    1933
  • Abstract
    We present two Hammerstein-type models for parametric system identification of the lip seal friction process in a hydraulic actuator. Adaptive algorithms with least squares criteria are derived, and the performances of the two models are evaluated using experimental results
  • Keywords
    actuators; adaptive systems; friction; hydraulic systems; least mean squares methods; nonlinear systems; parameter estimation; seals (stoppers); Hammerstein model; LMS adaptive algorithm; experimental results; friction dynamics; hydraulic actuator; least squares criteria; lip seal friction process; nonlinear system identification; parametric system identification; performance; Adaptive algorithm; Friction; Hydraulic actuators; Least squares methods; Lubricants; Nonlinear dynamical systems; Nonlinear systems; Seals; Shafts; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-4428-6
  • Type

    conf

  • DOI
    10.1109/ICASSP.1998.681441
  • Filename
    681441