Improved direct-parallel active noise control systems for applications with narrowband noises

Rotary machinery generates noises at the fundamental frequency and its harmonics. The direct-parallel form active noise control (ANC) system, which is capable of reducing multiple narrowband noises, uses many harmonically related sinusoids as the reference input. The idea of direct-parallel form ANC is to split these sinusoids into several mutually exclusive sets, so each set has frequencies spaced out as far as possible. This paper proposes an improved direct-parallel form method to separate the reference sinusoidal signals and to enhance the noise reduction performance. Several experiments regarding to the ANC with a muffler model is made to verify the performance of the proposed method.

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Publication Details

Journal
NOISE-CON proceedings
Published
2024-10-04
DOI
https://doi.org/10.3397/in_2024_3005
Primary Topic
Advanced Adaptive Filtering Techniques
Type
article
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article

Improved direct-parallel active noise control systems for applications with narrowband noises

Ming-Han Ho, Cheng Yuan Chang, Sen M. Kuo
NOISE-CON proceedings
Advanced Adaptive Filtering Techniques
article

Improved direct-parallel active noise control systems for applications with narrowband noises

Ming-Han Ho, Cheng Yuan Chang, Sen M. Kuo
article en

Abstract

Rotary machinery generates noises at the fundamental frequency and its harmonics. The direct-parallel form active noise control (ANC) system, which is capable of reducing multiple narrowband noises, uses many harmonically related sinusoids as the reference input. The idea of direct-parallel form ANC is to split these sinusoids into several mutually exclusive sets, so each set has frequencies spaced out as far as possible. This paper proposes an improved direct-parallel form method to separate the reference sinusoidal signals and to enhance the noise reduction performance. Several experiments regarding to the ANC with a muffler model is made to verify the performance of the proposed method.

NOISE-CON proceedingsVol. 270(10)
Chung Yuan Christian University (TW)
Affordable and clean energy
Openalex Percentile: Top 81%
Advanced Adaptive Filtering Techniques
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