Improved Model Predictive Torque Control for PMSM Drives Based on Duty Cycle Optimization

Wu, M; Sun, X; Zhu, J; Lei, G; Guo, Y

Improved Model Predictive Torque Control for PMSM Drives Based on Duty Cycle Optimization

Wu, M Sun, X Zhu, J

Lei, G

Guo, Y

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Magnetics, 2021, 57, (2)
Issue Date:: 2021-02-01

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Field	Value	Language
dc.contributor.author	Wu, M
dc.contributor.author	Sun, X
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047
dc.contributor.author	Lei, G https://orcid.org/0000-0002-8369-6802
dc.contributor.author	Guo, Y https://orcid.org/0000-0001-6182-0684
dc.date.accessioned	2022-05-04T22:25:28Z
dc.date.available	2022-05-04T22:25:28Z
dc.date.issued	2021-02-01
dc.identifier.citation	IEEE Transactions on Magnetics, 2021, 57, (2)
dc.identifier.issn	0018-9464
dc.identifier.issn	1941-0069
dc.identifier.uri	http://hdl.handle.net/10453/157022
dc.description.abstract	This article proposes an optimal scheme for an interior permanent-magnet synchronous motor (IPMSM) in electric vehicle drive system using novel model predictive torque control (MPTC) algorithm. A single optimal voltage space vector (VSV) is applied with a two-level voltage source inverter in the conventional MPTC. An improved MPTC is presented to reduce the drawbacks with satisfied torque reaction performance without adding the sampling time. First, set switching table to alleviate the calculated complexity which decreasing the selection of the appropriate VSVs. Second, optimize the duty cycle to restrain the torque ripple. Finally, the conventional MPTC and the proposed MPTC are compared in the aspects of torque and flux ripples, current harmonics, and computational level in the experiment using dSPACE.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Transactions on Magnetics
dc.relation.isbasedon	10.1109/TMAG.2020.3008495
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	02 Physical Sciences, 09 Engineering
dc.subject.classification	Applied Physics
dc.title	Improved Model Predictive Torque Control for PMSM Drives Based on Duty Cycle Optimization
dc.type	Journal Article
utslib.citation.volume	57
utslib.for	02 Physical Sciences
utslib.for	09 Engineering
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/Strength - CCET - Centre for Clean Energy Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2023-02-01T00:00:00+1000Z
dc.date.updated	2022-05-04T22:25:26Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	57
utslib.citation.issue	2

Abstract:

This article proposes an optimal scheme for an interior permanent-magnet synchronous motor (IPMSM) in electric vehicle drive system using novel model predictive torque control (MPTC) algorithm. A single optimal voltage space vector (VSV) is applied with a two-level voltage source inverter in the conventional MPTC. An improved MPTC is presented to reduce the drawbacks with satisfied torque reaction performance without adding the sampling time. First, set switching table to alleviate the calculated complexity which decreasing the selection of the appropriate VSVs. Second, optimize the duty cycle to restrain the torque ripple. Finally, the conventional MPTC and the proposed MPTC are compared in the aspects of torque and flux ripples, current harmonics, and computational level in the experiment using dSPACE.

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http://hdl.handle.net/10453/157022