Simulation Analysis and Experiment Research on Vehicle Interior Adaptive Active Noise Control System

Article Preview

Abstract:

In the MATLAB/Simulink environment through the simulation analysis, has determined the NFXLMS algorithm of the filter order and the convergence factor control parameters in the vehicle adaptive active noise control system used; adaptive active interior noise control system was constructed in a light bus, the tested vehicle engine was conducted noise cancellation control when its work in 1080rpm and 2400rpm; the results show that, the overall amount of noise reduction of driver's right ear position respectively 9.7dB (Lin) and 8.9dB (Lin).

You might also be interested in these eBooks

Info:

Periodical:

Pages:

169-174

Citation:

Online since:

January 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Jiang Ji-guang, Wang Deng-feng. Research on Normalized Least Mean Square Method Based on frequency selectivity filter algorithm. Science Technology and Engineering. 2013(Vol. 12)No. 12, 2874~2878.

Google Scholar

[2] CHANG Zhen-chen, WANG Deng-feng. Research Developments and Prospects of Noise Control Technology in Vehicle[J]. Journal of Jilin University of Technology, 2002, 32(4): 86-90.

Google Scholar

[3] Sen M. Kuo. Active Noise Control System With Parallel On-Line Error Path Modeling Algorithm . Noise Control Engineering Journal, 1992, 119-127.

DOI: 10.3397/1.2827825

Google Scholar

[4] YU Hua-min, ZHU Hai-chao. Application of adaptive filter in active noise control[J]. Journal of Naval University of Engineering. 2001, 03.

Google Scholar

[5] Liu Jian. Performance Analysis of Narrowband Active Noise Control System Based on FXLMS Algorithm[D]. Harbin: Harbin Institute of Technology, (2011).

Google Scholar

[6] Wang Deng-feng, Liu Xue-guang, Liu Zong-wei. An active noise control strategy and adaptive algorithm in vehicle based on engine rotation speed. Journal of Highway and Transportation Research and Development, 2004, 10: 126~129.

Google Scholar