• DocumentCode
    2430281
  • Title

    A new indirect adaptive algorithm for feedforward control

  • Author

    Wang, Angela Kuo ; Ren, Wei

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • Volume
    3
  • fYear
    1994
  • fDate
    29 June-1 July 1994
  • Firstpage
    2990
  • Abstract
    This paper considers the deterministic adaptive feed-forward control problem for disturbance rejection. A new indirect adaptive control algorithm is presented as an alternative to the well-known "filtered-X LMS" algorithm when the disturbance is periodic with unknown frequency. This new algorithm requires the solution of a Diophantine equation and a simple scheme to recursively solve this equation is developed. The new algorithm is shown to converge without the use of a dither signal for plant modeling. Simulations demonstrate that the proposed algorithm has improved transient response and convergence speed than the filtered-X algorithm. The applicability of the algorithm to the adaptive active noise cancelling problem is considered.
  • Keywords
    active noise control; adaptive control; convergence; feedforward; linear systems; transient response; Diophantine equation; adaptive active noise cancelling problem; convergence speed; deterministic adaptive feedforward control; disturbance rejection; indirect adaptive algorithm; transient response; Adaptive algorithm; Adaptive control; Adaptive filters; Equations; Feedforward systems; Frequency; Least squares approximation; Noise cancellation; Programmable control; Transient response;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1994
  • Print_ISBN
    0-7803-1783-1
  • Type

    conf

  • DOI
    10.1109/ACC.1994.735120
  • Filename
    735120