A relative path based virtual sensing method for the active feedback headrest system
A relative path based virtual sensing method for the active feedback headrest system
Virtual sensing methods (VS) enable an active noise control (ANC) system to achieve noise reduction at a target control point, but impractical to place an error microphone for an extended period of time. This is realized by employing remote monitoring microphones. This paper introduces the relative path based VS (RP-VS) method for feedback ANC systems and compares it to existing VS methods, including the auxiliary filter based VS (AF-VS) method and the remote microphone based VS (RM-VS) method. Theoretical analysis is conducted to describe the impact of acoustic path changes on their noise reduction capabilities. When acoustic paths remain constant, all three VS methods perform similarly. However, they behave differently when acoustic paths change: the RP-VS method aligns with the AF-VS method, while the RM-VS method matches the performance of the fixed-coefficient (FC) filter. Moreover, changes in the primary noise characteristics can be treated equivalently as changes in the secondary paths at a single frequency, but these equivalent changes are inherently uncertain. Simulations and experiments conducted on an active headrest hence demonstrate the robustness of the RP-VS method against changing paths and primary noise characteristics.
Active headrest, Active noise control, Feedback control, Relative path, Virtual sensing
Liu, Chunyu
097fd8ad-2b0a-4659-a3db-ede482189a8b
Shi, Chuang
c46f72bd-54c7-45ee-ac5d-285691fccf81
Fu, Yujie
a2f9277a-2ff3-44b0-9541-754cbbd7a7c9
Li, Huiyong
55372056-e82d-4ca8-93c3-88c7f9d4216c
Zhu, Ce
90cae122-4994-480c-9826-733678ec5b2c
13 May 2024
Liu, Chunyu
097fd8ad-2b0a-4659-a3db-ede482189a8b
Shi, Chuang
c46f72bd-54c7-45ee-ac5d-285691fccf81
Fu, Yujie
a2f9277a-2ff3-44b0-9541-754cbbd7a7c9
Li, Huiyong
55372056-e82d-4ca8-93c3-88c7f9d4216c
Zhu, Ce
90cae122-4994-480c-9826-733678ec5b2c
Liu, Chunyu, Shi, Chuang, Fu, Yujie, Li, Huiyong and Zhu, Ce
(2024)
A relative path based virtual sensing method for the active feedback headrest system.
Mechanical Systems and Signal Processing, 216, [111497].
(doi:10.1016/j.ymssp.2024.111497).
Abstract
Virtual sensing methods (VS) enable an active noise control (ANC) system to achieve noise reduction at a target control point, but impractical to place an error microphone for an extended period of time. This is realized by employing remote monitoring microphones. This paper introduces the relative path based VS (RP-VS) method for feedback ANC systems and compares it to existing VS methods, including the auxiliary filter based VS (AF-VS) method and the remote microphone based VS (RM-VS) method. Theoretical analysis is conducted to describe the impact of acoustic path changes on their noise reduction capabilities. When acoustic paths remain constant, all three VS methods perform similarly. However, they behave differently when acoustic paths change: the RP-VS method aligns with the AF-VS method, while the RM-VS method matches the performance of the fixed-coefficient (FC) filter. Moreover, changes in the primary noise characteristics can be treated equivalently as changes in the secondary paths at a single frequency, but these equivalent changes are inherently uncertain. Simulations and experiments conducted on an active headrest hence demonstrate the robustness of the RP-VS method against changing paths and primary noise characteristics.
Text
MSSP_Submission_v3.7
- Accepted Manuscript
Restricted to Repository staff only until 13 May 2026.
Request a copy
Text
1-s2.0-S0888327024003959-main
- Version of Record
Restricted to Repository staff only
Request a copy
More information
Accepted/In Press date: 2 May 2024
e-pub ahead of print date: 13 May 2024
Published date: 13 May 2024
Keywords:
Active headrest, Active noise control, Feedback control, Relative path, Virtual sensing
Identifiers
Local EPrints ID: 490171
URI: http://eprints.soton.ac.uk/id/eprint/490171
ISSN: 0888-3270
PURE UUID: 7e552b4c-2d4b-4e54-8816-47eadea615e0
Catalogue record
Date deposited: 16 May 2024 16:38
Last modified: 31 May 2024 02:07
Export record
Altmetrics
Contributors
Author:
Chunyu Liu
Author:
Chuang Shi
Author:
Yujie Fu
Author:
Huiyong Li
Author:
Ce Zhu
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