A robust feedforward hybrid active noise control system with online secondary‐path modelling

Abstract In this study, a robust feedforward hybrid active noise control (ANC) system with online secondary‐path modelling (SPM) is proposed that is capable of not only effectively suppressing the broadband and narrowband noise components but also tracking the secondary path (SP) variations. An fini...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Yaping Ma, Yegui Xiao, Liying Ma, Khashayar Khorasani
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Hindawi-IET 2023-01-01
Sarja:IET Signal Processing
Aiheet:
Linkit:https://doi.org/10.1049/sil2.12183
_version_ 1827008617220407296
author Yaping Ma
Yegui Xiao
Liying Ma
Khashayar Khorasani
author_facet Yaping Ma
Yegui Xiao
Liying Ma
Khashayar Khorasani
author_sort Yaping Ma
collection DOAJ
description Abstract In this study, a robust feedforward hybrid active noise control (ANC) system with online secondary‐path modelling (SPM) is proposed that is capable of not only effectively suppressing the broadband and narrowband noise components but also tracking the secondary path (SP) variations. An finite impulse response online SPM subsystem as well as an efficient decoupling filter are included in the proposed feedforward hybrid ANC (HANC) system. The decoupling filter is a parallel‐form bandpass filter bank that consists of multiple bandpass filters that are derived from the second‐order infinite impulse response notch filters. It takes the residual noise as its input and separates the broadband component from the narrowband component, with the former used as not only a desired signal for the SPM but also as an error signal for updating the broadband sub‐controller, whereas the latter adapted simultaneously to scale the auxiliary white Gaussian noise and to update the narrowband sub‐controller. Extensive simulations are conducted with both the synthetic and real SPs as well as the synthetic and real noise signals that are generated by a large‐scale factory cutting machine (strand‐cutter) to demonstrate the advantages and effectiveness of the proposed feedforward HANC system. Comparisons are also demonstrated with the original HANC system as well as its directly extended version with an online SPM subsystem.
first_indexed 2024-03-09T07:36:35Z
format Article
id doaj.art-bedf6abf7fce4fe9b4fe2e412ffd8f0b
institution Directory Open Access Journal
issn 1751-9675
1751-9683
language English
last_indexed 2025-02-18T12:36:40Z
publishDate 2023-01-01
publisher Hindawi-IET
record_format Article
series IET Signal Processing
spelling doaj.art-bedf6abf7fce4fe9b4fe2e412ffd8f0b2024-11-02T04:14:00ZengHindawi-IETIET Signal Processing1751-96751751-96832023-01-01171n/an/a10.1049/sil2.12183A robust feedforward hybrid active noise control system with online secondary‐path modellingYaping Ma0Yegui Xiao1Liying Ma2Khashayar Khorasani3Institute of Automation Jiangnan University Wuxi ChinaDepartment of Management and Information Systems Prefectural University of Hiroshima Hiroshima JapanDepartment of Electrical and Computer Engineering Concordia University Montreal Quebec CanadaDepartment of Electrical and Computer Engineering Concordia University Montreal Quebec CanadaAbstract In this study, a robust feedforward hybrid active noise control (ANC) system with online secondary‐path modelling (SPM) is proposed that is capable of not only effectively suppressing the broadband and narrowband noise components but also tracking the secondary path (SP) variations. An finite impulse response online SPM subsystem as well as an efficient decoupling filter are included in the proposed feedforward hybrid ANC (HANC) system. The decoupling filter is a parallel‐form bandpass filter bank that consists of multiple bandpass filters that are derived from the second‐order infinite impulse response notch filters. It takes the residual noise as its input and separates the broadband component from the narrowband component, with the former used as not only a desired signal for the SPM but also as an error signal for updating the broadband sub‐controller, whereas the latter adapted simultaneously to scale the auxiliary white Gaussian noise and to update the narrowband sub‐controller. Extensive simulations are conducted with both the synthetic and real SPs as well as the synthetic and real noise signals that are generated by a large‐scale factory cutting machine (strand‐cutter) to demonstrate the advantages and effectiveness of the proposed feedforward HANC system. Comparisons are also demonstrated with the original HANC system as well as its directly extended version with an online SPM subsystem.https://doi.org/10.1049/sil2.12183auxiliary white Gaussian noisebandpass filter bankfeedforward hybrid active noise controlfiltered‐x LMSonline secondary‐path modelling
spellingShingle Yaping Ma
Yegui Xiao
Liying Ma
Khashayar Khorasani
A robust feedforward hybrid active noise control system with online secondary‐path modelling
IET Signal Processing
auxiliary white Gaussian noise
bandpass filter bank
feedforward hybrid active noise control
filtered‐x LMS
online secondary‐path modelling
title A robust feedforward hybrid active noise control system with online secondary‐path modelling
title_full A robust feedforward hybrid active noise control system with online secondary‐path modelling
title_fullStr A robust feedforward hybrid active noise control system with online secondary‐path modelling
title_full_unstemmed A robust feedforward hybrid active noise control system with online secondary‐path modelling
title_short A robust feedforward hybrid active noise control system with online secondary‐path modelling
title_sort robust feedforward hybrid active noise control system with online secondary path modelling
topic auxiliary white Gaussian noise
bandpass filter bank
feedforward hybrid active noise control
filtered‐x LMS
online secondary‐path modelling
url https://doi.org/10.1049/sil2.12183
work_keys_str_mv AT yapingma arobustfeedforwardhybridactivenoisecontrolsystemwithonlinesecondarypathmodelling
AT yeguixiao arobustfeedforwardhybridactivenoisecontrolsystemwithonlinesecondarypathmodelling
AT liyingma arobustfeedforwardhybridactivenoisecontrolsystemwithonlinesecondarypathmodelling
AT khashayarkhorasani arobustfeedforwardhybridactivenoisecontrolsystemwithonlinesecondarypathmodelling
AT yapingma robustfeedforwardhybridactivenoisecontrolsystemwithonlinesecondarypathmodelling
AT yeguixiao robustfeedforwardhybridactivenoisecontrolsystemwithonlinesecondarypathmodelling
AT liyingma robustfeedforwardhybridactivenoisecontrolsystemwithonlinesecondarypathmodelling
AT khashayarkhorasani robustfeedforwardhybridactivenoisecontrolsystemwithonlinesecondarypathmodelling