Comparative analysis of input power factor control techniques in matrix converters based on model predictive and space vector control schemes

Malekjamshidi, Z; Jafari, M; Zhu, J; Xiao, D

Comparative analysis of input power factor control techniques in matrix converters based on model predictive and space vector control schemes

Malekjamshidi, Z

Jafari, M

Zhu, J

Xiao, D

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Publication Type:: Journal Article
Citation:: IEEE Access, 2019, 7 pp. 139150 - 139160
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Malekjamshidi, Z https://orcid.org/0000-0002-5951-620X	en_US
dc.contributor.author	Jafari, M https://orcid.org/0000-0002-8521-8636	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Xiao, D	en_US
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	IEEE Access, 2019, 7 pp. 139150 - 139160	en_US
dc.identifier.uri	http://hdl.handle.net/10453/136305
dc.description.abstract	© 2013 IEEE. Model Predictive Control (MPC) with a finite control set and space vector modulation (SVM) are the most common control methods for the matrix converters (MCs). This paper is focused on the input and output currents performance analysis of the matrix converter controlled by SVM and MPC. A closed-loop control of the input current displacement angle is employed in the SVM strategy to provide unity input power factor over a wide range of voltage transfer ratio. For MPC, a discrete-time model of the converter, including the input filter and load, are used to predict the input and output currents for each valid switching state. The MPC, SVM, and power factor controlled SVM (PFC-SVM) methods are analyzed in detail, and their performance in controlling the input power factor, current quality, and transient response are compared through numerical simulations and experimental tests.	en_US
dc.relation.ispartof	IEEE Access	en_US
dc.relation.isbasedon	10.1109/ACCESS.2019.2941044	en_US
dc.title	Comparative analysis of input power factor control techniques in matrix converters based on model predictive and space vector control schemes	en_US
dc.type	Journal Article
utslib.citation.volume	7	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
utslib.for	10 Technology	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
pubs.organisational-group	/University of Technology Sydney/Strength - CCET - Centre for Clean Energy Technology
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	7	en_US

Abstract:

© 2013 IEEE. Model Predictive Control (MPC) with a finite control set and space vector modulation (SVM) are the most common control methods for the matrix converters (MCs). This paper is focused on the input and output currents performance analysis of the matrix converter controlled by SVM and MPC. A closed-loop control of the input current displacement angle is employed in the SVM strategy to provide unity input power factor over a wide range of voltage transfer ratio. For MPC, a discrete-time model of the converter, including the input filter and load, are used to predict the input and output currents for each valid switching state. The MPC, SVM, and power factor controlled SVM (PFC-SVM) methods are analyzed in detail, and their performance in controlling the input power factor, current quality, and transient response are compared through numerical simulations and experimental tests.

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http://hdl.handle.net/10453/136305