A four-stage method for active control with online feedback path modelling using control signal

Pradhan, S; Qiu, X; Ji, J

A four-stage method for active control with online feedback path modelling using control signal

Pradhan, S

Qiu, X

Ji, J

Permalink

Publication Type:: Journal Article
Citation:: Applied Sciences (Switzerland), 2019, 9 (15)
Issue Date:: 2019-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Microsoft Word XML

Download Accepted Manuscript VersionMicrosoft Word XML (1.19 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Pradhan, S https://orcid.org/0000-0002-7463-0932	en_US
dc.contributor.author	Qiu, X https://orcid.org/0000-0002-5181-1220	en_US
dc.contributor.author	Ji, J https://orcid.org/0000-0003-3280-5463	en_US
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	Applied Sciences (Switzerland), 2019, 9 (15)	en_US
dc.identifier.uri	http://hdl.handle.net/10453/135616
dc.description.abstract	© 2019 by the authors. The presence of control signal feedback to the reference microphone in feedforward active control systems deteriorates the control performance. A four-stage method is proposed in this paper to carry out online feedback path modelling with the control signal. It consists of controller initialization, feedback path modelling using decorrelation filters, active control operation, and feedback path change detection for maintaining the control operation. In contrast to the existing auxiliary noise injection method, the proposed method uses five switches and three thresholds to control and maintain the system stability by avoiding the interference between control operation and feedback path modelling, and adaptive decorrelation filters are used to increase the feedback path modelling performance. Simulation results reveal that the proposed method is capable of tracking feedback path changes without injecting any auxiliary noise and maintaining the noise reduction performance and stability of the system.	en_US
dc.relation	http://purl.org/au-research/grants/arc/LP140100740
dc.relation	http://purl.org/au-research/grants/arc/ARC LP140100987
dc.relation	http://purl.org/au-research/grants/arc/LP160100616
dc.relation.ispartof	Applied Sciences (Switzerland)	en_US
dc.relation.isbasedon	10.3390/app9152973	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	A four-stage method for active control with online feedback path modelling using control signal	en_US
dc.type	Journal Article
utslib.citation.volume	15	en_US
utslib.citation.volume	9	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access	*
pubs.issue	15	en_US
pubs.publication-status	Published	en_US
pubs.volume	9	en_US

Abstract:

© 2019 by the authors. The presence of control signal feedback to the reference microphone in feedforward active control systems deteriorates the control performance. A four-stage method is proposed in this paper to carry out online feedback path modelling with the control signal. It consists of controller initialization, feedback path modelling using decorrelation filters, active control operation, and feedback path change detection for maintaining the control operation. In contrast to the existing auxiliary noise injection method, the proposed method uses five switches and three thresholds to control and maintain the system stability by avoiding the interference between control operation and feedback path modelling, and adaptive decorrelation filters are used to increase the feedback path modelling performance. Simulation results reveal that the proposed method is capable of tracking feedback path changes without injecting any auxiliary noise and maintaining the noise reduction performance and stability of the system.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/135616