An active noise control casing using the multi-channel feedforward control system and the relative path based virtual sensing method
An active noise control casing using the multi-channel feedforward control system and the relative path based virtual sensing method
Active noise control (ANC) is a noise reduction technique based on acoustic wave superposition. The sound pressure level is reduced in a zone of quiet (ZoQ) by an anti-noise wave transmitted from the control source. The anti-noise wave has the same amplitude and opposed phase of the noise wave. An error microphone is conventionally placed at the target ZoQ to monitor the sound pressure level, forming a closed-loop control in an ANC system. However, due to application constraints or physical limitations, the error microphone sometimes cannot be placed at the target ZoQ. Virtual sensing (VS) methods are developed for such situations. There are two most commonly used VS methods. They are the auxiliary filter based VS (AF-VS) method and the remote microphone based VS (RM-VS) method. The AF-VS method preserves the information regarding the optimal control filter that can achieve the maximum noise reduction at the target ZoQ. The RM-VS method estimates the disturbance signal at the target ZoQ based on remote measurements. In this paper, we propose a new VS method, the relative path based VS (RP-VS) method, which estimates both the disturbance signal and the anti-noise signal at the target ZoQ. A theoretical analysis is provided to demonstrate that under different assumptions of varying acoustic paths, the RP-VS method can behave in the same way as the AF-VS method or the RM-VS method. Simulation results validate this theoretical analysis and demonstrate that improved noise reduction can be achieved by the RP-VS method when the noise frequency varies. Lastly, an ANC casing is built up with the RP-VS method to reduce a varying broadband fan noise. The RP-VS method is validated to be as effective as the AF-VS method and the RM-VS method with the implementation of the ANC casing.
Shi, Chuang
c46f72bd-54c7-45ee-ac5d-285691fccf81
Jia, Zhuoying
81ed2aaf-7051-46c0-9eed-7079bedce418
Xie, Rong
c236a271-fe47-4fdb-b1ed-2598ef36ed4d
Li, Huiyong
01099860-a8cb-4a57-b2b3-f5a426fcba2c
16 April 2020
Shi, Chuang
c46f72bd-54c7-45ee-ac5d-285691fccf81
Jia, Zhuoying
81ed2aaf-7051-46c0-9eed-7079bedce418
Xie, Rong
c236a271-fe47-4fdb-b1ed-2598ef36ed4d
Li, Huiyong
01099860-a8cb-4a57-b2b3-f5a426fcba2c
Shi, Chuang, Jia, Zhuoying, Xie, Rong and Li, Huiyong
(2020)
An active noise control casing using the multi-channel feedforward control system and the relative path based virtual sensing method.
Mechanical Systems and Signal Processing, 144, [106878].
(doi:10.1016/j.ymssp.2020.106878).
Abstract
Active noise control (ANC) is a noise reduction technique based on acoustic wave superposition. The sound pressure level is reduced in a zone of quiet (ZoQ) by an anti-noise wave transmitted from the control source. The anti-noise wave has the same amplitude and opposed phase of the noise wave. An error microphone is conventionally placed at the target ZoQ to monitor the sound pressure level, forming a closed-loop control in an ANC system. However, due to application constraints or physical limitations, the error microphone sometimes cannot be placed at the target ZoQ. Virtual sensing (VS) methods are developed for such situations. There are two most commonly used VS methods. They are the auxiliary filter based VS (AF-VS) method and the remote microphone based VS (RM-VS) method. The AF-VS method preserves the information regarding the optimal control filter that can achieve the maximum noise reduction at the target ZoQ. The RM-VS method estimates the disturbance signal at the target ZoQ based on remote measurements. In this paper, we propose a new VS method, the relative path based VS (RP-VS) method, which estimates both the disturbance signal and the anti-noise signal at the target ZoQ. A theoretical analysis is provided to demonstrate that under different assumptions of varying acoustic paths, the RP-VS method can behave in the same way as the AF-VS method or the RM-VS method. Simulation results validate this theoretical analysis and demonstrate that improved noise reduction can be achieved by the RP-VS method when the noise frequency varies. Lastly, an ANC casing is built up with the RP-VS method to reduce a varying broadband fan noise. The RP-VS method is validated to be as effective as the AF-VS method and the RM-VS method with the implementation of the ANC casing.
Text
MSSP_Submission_Accepted
- Accepted Manuscript
More information
Accepted/In Press date: 7 April 2020
e-pub ahead of print date: 16 April 2020
Published date: 16 April 2020
Identifiers
Local EPrints ID: 483694
URI: http://eprints.soton.ac.uk/id/eprint/483694
ISSN: 0888-3270
PURE UUID: 4fe0e175-f01d-41c6-afbb-f403299c086a
Catalogue record
Date deposited: 03 Nov 2023 17:54
Last modified: 18 Mar 2024 04:13
Export record
Altmetrics
Contributors
Author:
Chuang Shi
Author:
Zhuoying Jia
Author:
Rong Xie
Author:
Huiyong Li
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics