On the use of a priori knowledge in adaptive inverse control

Author

Kaelin, August ; von Grünigen, Daniel

Author_Institution

Signal & Inf. Process. Lab., Swiss Fed. Inst. of Technol., Zurich, Switzerland

Volume

47

Issue

1

fYear

2000

fDate

1/1/2000 12:00:00 AM

Firstpage

54

Lastpage

62

Abstract

In adaptive inverse control the coefficients of the controller are adaptively adjusted by an algorithm which is controlled by the input and the error signal. Using a priori knowledge about the plant, the controller can be split into a long fixed and a short adaptive filter. The controller can be made more efficient by feeding back the error signal only in a desired frequency range. A modified objective function allows the minimization of the filtered squared error plus the norm of the controller. The technique is demonstrated with an active noise control (ANC) system where it suppresses the sound pressure level by more than 20 dB(A)

Keywords

active noise control; adaptive control; adaptive filters; control system synthesis; feedback; least mean squares methods; ANC system; a priori knowledge; active noise control; adaptive inverse control; controller coefficients; error signal feedback; long fixed adaptive filter; modified objective function; short adaptive filter; split controller design; Acoustic noise; Active noise reduction; Adaptive control; Adaptive filters; Control systems; Error correction; Frequency; Noise level; Pressure control; Programmable control;

fLanguage

English

Journal_Title

Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on

Publisher

ieee

ISSN

1057-7122

Type

jour

DOI

10.1109/81.817390

Filename

817390