Adaptive multi-frequency feedforward active noise control systems

Author

Le Thai Nguyen ; Xing Wu ; Jing Na ; Yu Guo ; Thi Trung Tin Nguyen

Author_Institution

Fac. of Mech. & Electr. Eng., Kunming Univ. of Sci. & Technol., Kunming, China

fYear

2014

fDate

28-30 July 2014

Firstpage

7268

Lastpage

7273

Abstract

The performance of Filtered-X Least Mean Square (FXLMS) based active noise control (ANC) may degrade for multi-frequency noise sources. This paper proposes an alternative feedforward ANC system to address multi-frequency noises. We separate the multi-frequency noises into several band frequency noises by using finite impulse response (FIR) filters and then develop a new multi-channel ANC design method by means of FXLMS algorithm. Finally, the frequency estimation method is incorporated into the proposed ANC scheme to provide another improved ANC system. The error convergence and the system stability are proved and simulation results are given to show the efficacy of the proposed schemes.

Keywords

FIR filters; active noise control; adaptive control; feedforward; frequency estimation; FIR filters; FXLMS ANC scheme; FXLMS algorithm; adaptive multifrequency feedforward active noise control systems; feedforward ANC system; filtered-x least mean square based active noise control; finite impulse response filters; frequency estimation method; multichannel ANC design method; multifrequency noise sources; system stability; Adaptation models; Band-pass filters; Convergence; Feedforward neural networks; Finite impulse response filters; Frequency estimation; Noise; Active noise control; filtered-x least mean square; frequency estimation; multi-frequency noises;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2014 33rd Chinese

Conference_Location

Nanjing

Type

conf

DOI

10.1109/ChiCC.2014.6896204

Filename

6896204