Adaptive rejection of stochastic and deterministic sinusoidal disturbances with unknown frequency

  • Authors:
  • Yigang Wang;Kevin C. Chu;Tsu-Chin Tsao

  • Affiliations:
  • Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, California;Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, California;Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, California

  • Venue:
  • ACC'09 Proceedings of the 2009 conference on American Control Conference
  • Year:
  • 2009

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Abstract

In this paper, an adaptive control algorithm is proposed to reject unknown deterministic disturbances and minimize output variance. The proposed algorithm contains two adaptive control actions. One rejects a set of unidentified deterministic disturbances by an adaptive internal model with online frequency identification. The other minimizes the output variance using an adaptive finite impulse response filter. The stability and performance of the proposed algorithm are analyzed and demonstrated by simulation results.