Parameters identification of industrial induction motor using manufacturer data sheet and power quality analyzer

Habibkhah, S; Ghiyasi, M; Arasi, J; Li, L

Parameters identification of industrial induction motor using manufacturer data sheet and power quality analyzer

Habibkhah, S Ghiyasi, M Arasi, J Li, L

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Publication Type:: Journal Article
Citation:: International Review of Automatic Control, 2017, 10 (4), pp. 341 - 348
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Habibkhah, S	en_US
dc.contributor.author	Ghiyasi, M	en_US
dc.contributor.author	Arasi, J	en_US
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	International Review of Automatic Control, 2017, 10 (4), pp. 341 - 348	en_US
dc.identifier.issn	1974-6059	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126079
dc.description.abstract	© 2017 Praise Worthy Prize S.r.l. - All rights reserved. This paper intends to identify circuit parameters of an installed induction motor in an innovative way which is different from standard tests. In this paper, easily available motor manufacturer data is used by which rated output power, rated terminal voltage, full load efficiency, full load power factor, nominal speed, number of poles, and locked rotor current are provided. In order to estimate the parameters, nonlinear mathematical equations of motor are derived and iterative Gauss-Seidel method is used to solve them in MATLAB. Identified parameters are then transferred to MATLAB/Simulink model of the motor to simulate its performance during Star-Delta start. Validation of parameters is evaluated by comparing the result of Simulink with real-time measurement of an industrial Power Quality Analyzer.	en_US
dc.relation.ispartof	International Review of Automatic Control	en_US
dc.relation.isbasedon	10.15866/ireaco.v10i4.11808	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Parameters identification of industrial induction motor using manufacturer data sheet and power quality analyzer	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	10	en_US
utslib.for	0902 Automotive 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 Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	10	en_US

Abstract:

© 2017 Praise Worthy Prize S.r.l. - All rights reserved. This paper intends to identify circuit parameters of an installed induction motor in an innovative way which is different from standard tests. In this paper, easily available motor manufacturer data is used by which rated output power, rated terminal voltage, full load efficiency, full load power factor, nominal speed, number of poles, and locked rotor current are provided. In order to estimate the parameters, nonlinear mathematical equations of motor are derived and iterative Gauss-Seidel method is used to solve them in MATLAB. Identified parameters are then transferred to MATLAB/Simulink model of the motor to simulate its performance during Star-Delta start. Validation of parameters is evaluated by comparing the result of Simulink with real-time measurement of an industrial Power Quality Analyzer.

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http://hdl.handle.net/10453/126079