• DocumentCode
    1369840
  • Title

    Adaptive inverse control algorithm for shock testing

  • Author

    Karshenas, A.M. ; Dunnigan, M.W. ; Williams, B.W.

  • Author_Institution
    Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., Edinburgh, UK
  • Volume
    147
  • Issue
    3
  • fYear
    2000
  • fDate
    5/1/2000 12:00:00 AM
  • Firstpage
    267
  • Lastpage
    276
  • Abstract
    An adaptive inverse control algorithm is proposed for shock testing an arbitrary specimen using an electrodynamic actuator. The purpose is to ascertain whether the specimen can survive and continue to function under severe shock conditions. The main difficulty in shock control is that the specimen dynamics vary significantly and a control algorithm is required that adapts to the characteristics of a new specimen. The control algorithm used is the adaptive inverse control method which approximates an inverse model of the loaded shaker with a finite impulse response adaptive filter, such that the reference input is reproduced at the shaker output. The standard filtered-x least mean square control structure used in the adaptive inverse control algorithm is modified to a block-processing structure, with the frequency-domain adaptive filter as the adaptation algorithm. Practical results show that the filtered-x frequency-domain adaptive filter control algorithm allows convergence of the shaker output to the assigned reference shock pulse
  • Keywords
    FIR filters; actuators; adaptive control; adaptive filters; least mean squares methods; shock control; testing; adaptation algorithm; adaptive inverse control algorithm; block-processing structure; electrodynamic actuator; filtered-x frequency-domain adaptive filter control algorithm; finite impulse response adaptive filter; frequency-domain adaptive filter; inverse model; shock control; shock testing; standard filtered-x least mean square control structure;
  • fLanguage
    English
  • Journal_Title
    Control Theory and Applications, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2379
  • Type

    jour

  • DOI
    10.1049/ip-cta:20000166
  • Filename
    859025