A preconditioned LMS algorithm for rapid adaptation of feedforward controllers

Author

Elliott, S.J. ; Cook, J.G.

Author_Institution

Inst. of Sound & Vibration Res., Southampton Univ., UK

Volume

2

fYear

2000

fDate

2000

Abstract

A form of LMS algorithm for adaptive feedforward control is presented in which the physical plant response is preconditioned by the inverse of its minimum phase part. The overall response from the output of the control filter to the output of the error sensors is thus equal to the all-pass part of the plant response. Since this has a flat magnitude response, the convergence speed of the adaptive algorithm is not affected by resonances in the plant response, as it is for the normal filtered reference and filtered error LMS for example. Simulations are presented for a control system using a plant response measured from a loudspeaker to a microphone inside a car which support these observations

Keywords

active noise control; adaptive control; all-pass filters; convergence of numerical methods; feedforward; least mean squares methods; adaptive feedforward control; all-pass filter; control filter; control system; convergence speed; error sensors; feedforward controllers; magnitude response; physical plant response; preconditioned LMS algorithm; rapid adaptation; resonances; Adaptive algorithm; Adaptive control; Adaptive filters; Control system synthesis; Convergence; Error correction; Least squares approximation; Loudspeakers; Programmable control; Resonance;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.859092

Filename

859092