Vehicle Engine Noise Cancellation Based on a Multi-Channel Fractional-Order Active Noise Control Algorithm
For the problem of low-frequency noise suppression in a large area of the vehicle space, this paper proposes a novel multi-channel fractional-order active noise control algorithm and tests its ability for vehicle engine noise cancellation. The algorithm uses fractional-order calculus to replace the...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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MDPI AG
2022-08-01
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Series: | Machines |
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Online Access: | https://www.mdpi.com/2075-1702/10/8/670 |
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author | Tao Li Minqi Wang Yuyao He Ning Wang Jun Yang Rongjun Ding Kaihui Zhao |
author_facet | Tao Li Minqi Wang Yuyao He Ning Wang Jun Yang Rongjun Ding Kaihui Zhao |
author_sort | Tao Li |
collection | DOAJ |
description | For the problem of low-frequency noise suppression in a large area of the vehicle space, this paper proposes a novel multi-channel fractional-order active noise control algorithm and tests its ability for vehicle engine noise cancellation. The algorithm uses fractional-order calculus to replace the integer-order gradient descent to update the weighting coefficients of the filter, thereby avoiding imbalance or over-tuning phenomena during adaptive active noise cancellation and improving the control accuracy of the algorithm. A computer simulation was conducted in the noise cancellation scene of the vehicle, which showed that the algorithm is capable of suppressing single- and mixed-frequency noises, reducing the average sound pressure by approximately 20 dB. The experimental results demonstrated that the algorithm can effectively reduce the peak sound pressure of low-frequency noise for a certain type of vehicle engine by approximately 10 dB, whereas the total sound pressure level is reduced by approximately 4.7 dB. |
first_indexed | 2024-03-09T09:53:45Z |
format | Article |
id | doaj.art-4f22fc529cc947c2a75071d897e245ac |
institution | Directory Open Access Journal |
issn | 2075-1702 |
language | English |
last_indexed | 2024-03-09T09:53:45Z |
publishDate | 2022-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Machines |
spelling | doaj.art-4f22fc529cc947c2a75071d897e245ac2023-12-01T23:55:34ZengMDPI AGMachines2075-17022022-08-0110867010.3390/machines10080670Vehicle Engine Noise Cancellation Based on a Multi-Channel Fractional-Order Active Noise Control AlgorithmTao Li0Minqi Wang1Yuyao He2Ning Wang3Jun Yang4Rongjun Ding5Kaihui Zhao6College of Railway Transportation, Hunan University of Technology, Zhuzhou 412007, ChinaCollege of Railway Transportation, Hunan University of Technology, Zhuzhou 412007, ChinaCollege of Railway Transportation, Hunan University of Technology, Zhuzhou 412007, ChinaCollege of Railway Transportation, Hunan University of Technology, Zhuzhou 412007, ChinaZhuzhou Times New Material Technology Co., Ltd., Zhuzhou 412007, ChinaCollege of Mechanical and Vehicle Engineering, Hunan University, Changsha 410083, ChinaCollege of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, ChinaFor the problem of low-frequency noise suppression in a large area of the vehicle space, this paper proposes a novel multi-channel fractional-order active noise control algorithm and tests its ability for vehicle engine noise cancellation. The algorithm uses fractional-order calculus to replace the integer-order gradient descent to update the weighting coefficients of the filter, thereby avoiding imbalance or over-tuning phenomena during adaptive active noise cancellation and improving the control accuracy of the algorithm. A computer simulation was conducted in the noise cancellation scene of the vehicle, which showed that the algorithm is capable of suppressing single- and mixed-frequency noises, reducing the average sound pressure by approximately 20 dB. The experimental results demonstrated that the algorithm can effectively reduce the peak sound pressure of low-frequency noise for a certain type of vehicle engine by approximately 10 dB, whereas the total sound pressure level is reduced by approximately 4.7 dB.https://www.mdpi.com/2075-1702/10/8/670active noise controlfractional-order calculusmulti-channelvariable step sizevehicle noise |
spellingShingle | Tao Li Minqi Wang Yuyao He Ning Wang Jun Yang Rongjun Ding Kaihui Zhao Vehicle Engine Noise Cancellation Based on a Multi-Channel Fractional-Order Active Noise Control Algorithm Machines active noise control fractional-order calculus multi-channel variable step size vehicle noise |
title | Vehicle Engine Noise Cancellation Based on a Multi-Channel Fractional-Order Active Noise Control Algorithm |
title_full | Vehicle Engine Noise Cancellation Based on a Multi-Channel Fractional-Order Active Noise Control Algorithm |
title_fullStr | Vehicle Engine Noise Cancellation Based on a Multi-Channel Fractional-Order Active Noise Control Algorithm |
title_full_unstemmed | Vehicle Engine Noise Cancellation Based on a Multi-Channel Fractional-Order Active Noise Control Algorithm |
title_short | Vehicle Engine Noise Cancellation Based on a Multi-Channel Fractional-Order Active Noise Control Algorithm |
title_sort | vehicle engine noise cancellation based on a multi channel fractional order active noise control algorithm |
topic | active noise control fractional-order calculus multi-channel variable step size vehicle noise |
url | https://www.mdpi.com/2075-1702/10/8/670 |
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