Adaptive rejection of stochastic and deterministic sinusoidal disturbances with unknown frequency

Author

Wang, Yigang ; Chu, Kevin C. ; Tsao, Tsu-Chin

Author_Institution

Dept. of Mech. & Aerosp. Eng., Univ. of California, Los Angeles, CA, USA

fYear

2009

fDate

10-12 June 2009

Firstpage

5641

Lastpage

5646

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.

Keywords

FIR filters; adaptive control; adaptive filters; frequency estimation; least squares approximations; minimisation; recursive filters; stability; stochastic systems; adaptive control; adaptive internal model; deterministic sinusoidal disturbance rejection; online frequency identification; output variance minimization; recursive least square adaptive finite impulse response filter; stability; stochastic sinusoidal disturbance rejection; Adaptive control; Costs; Filters; Frequency estimation; Hydrogen; Performance analysis; Programmable control; Resonance light scattering; Stochastic processes; Stochastic resonance;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2009. ACC '09.

Conference_Location

St. Louis, MO

ISSN

0743-1619

Print_ISBN

978-1-4244-4523-3

Electronic_ISBN

0743-1619

Type

conf

DOI

10.1109/ACC.2009.5160730

Filename

5160730