DocumentCode :
2853041
Title :
Active non-linear noise control with non-linearities in the secondary path
Author :
DeBrunner, Victor E. ; Zhou, Dayong
Author_Institution :
Sch. of Electr. & Comput. Eng., Oklahoma Univ., Norman, OK, USA
fYear :
2003
fDate :
28 Sept.-1 Oct. 2003
Firstpage :
210
Lastpage :
213
Abstract :
The filtered-X LMS algorithm is successfully applied in linear active noise control and linear active vibration control. However, when it comes to non-linear noise or vibration control, or when the secondary path has a non-linearity, this algorithm must be modified to ensure that it converges and that it is unbiased. Some modified algorithms have been proposed for active control of nonlinear noise with a linear secondary path [L.Z. Tan and J. Jiang, Aug. 2001] or a weakly non-linear secondary path [V. DeBrunner and D. Zhou, 2002]. In this paper, we extend ´a non-linear filtered-X LMS´ algorithm to solve the active non-linear noise control (ANNC) and active non-linear vibration control (ANVC) with non-linearities in the secondary path using an adaptive Volterra filter for the first time. Two improved versions of the non-linear adaptive filters that improve the stability and reduce the computational complexity are proposed and discussed in detail. Simulations show their effectiveness.
Keywords :
active filters; control nonlinearities; noise; nonlinear control systems; nonlinear filters; signal denoising; vibration control; active nonlinear noise control; active nonlinear vibration control; adaptive Volterra filter; computational complexity; nonlinear adaptive filters; nonlinear filtered-X LMS´ algorithm; Active noise reduction; Adaptive control; Adaptive filters; Computational complexity; Computational modeling; Least squares approximation; Nonlinear filters; Programmable control; Stability; Vibration control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal Processing, 2003 IEEE Workshop on
Print_ISBN :
0-7803-7997-7
Type :
conf
DOI :
10.1109/SSP.2003.1289381
Filename :
1289381
Link To Document :
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