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...
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| Published in | Machines (Basel) Vol. 10; no. 8; p. 670 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
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Basel
MDPI AG
01.08.2022
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| Online Access | Get full text |
| ISSN | 2075-1702 2075-1702 |
| DOI | 10.3390/machines10080670 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Audience | Academic |
| Author | Zhao, Kaihui Li, Tao Yang, Jun Ding, Rongjun Wang, Ning Wang, Minqi He, Yuyao |
| Author_xml | – sequence: 1 givenname: Tao surname: Li fullname: Li, Tao – sequence: 2 givenname: Minqi surname: Wang fullname: Wang, Minqi – sequence: 3 givenname: Yuyao surname: He fullname: He, Yuyao – sequence: 4 givenname: Ning surname: Wang fullname: Wang, Ning – sequence: 5 givenname: Jun surname: Yang fullname: Yang, Jun – sequence: 6 givenname: Rongjun surname: Ding fullname: Ding, Rongjun – sequence: 7 givenname: Kaihui orcidid: 0000-0003-4265-9631 surname: Zhao fullname: Zhao, Kaihui |
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| SubjectTerms | Acoustic properties Active noise control Adaptive control Algorithms Calculus Cancellation Control algorithms Control theory Digital signal processors Engine noise fractional-order calculus LF noise Methods Motor vehicles multi-channel Noise control Noise reduction Parameter estimation R&D Research & development Signal processing Sound pressure variable step size vehicle noise Vehicle spacing |
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| Title | Vehicle Engine Noise Cancellation Based on a Multi-Channel Fractional-Order Active Noise Control Algorithm |
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