Model Predictive Torque Control with SVM for Five-Phase PMSM under Open-Circuit Fault Condition

Huang, W; Hua, W; Chen, F; Hu, M; Zhu, J

Model Predictive Torque Control with SVM for Five-Phase PMSM under Open-Circuit Fault Condition

Huang, W Hua, W Chen, F Hu, M Zhu, J

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Power Electronics, 2020, 35, (5), pp. 5531-5540
Issue Date:: 2020-05-01

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Field	Value	Language
dc.contributor.author	Huang, W
dc.contributor.author	Hua, W
dc.contributor.author	Chen, F
dc.contributor.author	Hu, M
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047
dc.date.accessioned	2021-03-07T03:54:40Z
dc.date.available	2021-03-07T03:54:40Z
dc.date.issued	2020-05-01
dc.identifier.citation	IEEE Transactions on Power Electronics, 2020, 35, (5), pp. 5531-5540
dc.identifier.issn	0885-8993
dc.identifier.issn	1941-0107
dc.identifier.uri	http://hdl.handle.net/10453/146843
dc.description.abstract	© 1986-2012 IEEE. This article proposes a novel model predictive torque control combined with space vector modulation (SVM) to enhance the fault-tolerant performance of a five-phase permanent magnet synchronous motor under open circuit fault. Inherited the merits of MPC and SVM, a joint control of different subspaces and enhancement of steady-state performance can be achieved by the proposed strategy. For the harmonic regulation, the x-y currents are predicted and restricted together with the torque and the stator flux-linkage. The SVM method is implemented in terms of the voltage vector selection and synthesis. The nonzero switching states, which generate a larger voltage vector in the α-β subspace, are selected as the candidate states to suppress the harmonic voltage. During the vector synthesis process, two arbitrary voltage vectors in the quadrant where the desired voltage vector locates are considered as the active voltages. Consequently, the best vector synthesis and dwell time are obtained by optimizing the cost function. The effectiveness of the proposed method has been validated by comparative experiments.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Transactions on Power Electronics
dc.relation.isbasedon	10.1109/TPEL.2019.2952919
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0906 Electrical and Electronic Engineering
dc.subject.classification	Electrical & Electronic Engineering
dc.title	Model Predictive Torque Control with SVM for Five-Phase PMSM under Open-Circuit Fault Condition
dc.type	Journal Article
utslib.citation.volume	35
utslib.for	0906 Electrical and Electronic Engineering
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
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2021-03-07T03:54:31Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	35
utslib.citation.issue	5

Abstract:

© 1986-2012 IEEE. This article proposes a novel model predictive torque control combined with space vector modulation (SVM) to enhance the fault-tolerant performance of a five-phase permanent magnet synchronous motor under open circuit fault. Inherited the merits of MPC and SVM, a joint control of different subspaces and enhancement of steady-state performance can be achieved by the proposed strategy. For the harmonic regulation, the x-y currents are predicted and restricted together with the torque and the stator flux-linkage. The SVM method is implemented in terms of the voltage vector selection and synthesis. The nonzero switching states, which generate a larger voltage vector in the α-β subspace, are selected as the candidate states to suppress the harmonic voltage. During the vector synthesis process, two arbitrary voltage vectors in the quadrant where the desired voltage vector locates are considered as the active voltages. Consequently, the best vector synthesis and dwell time are obtained by optimizing the cost function. The effectiveness of the proposed method has been validated by comparative experiments.

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http://hdl.handle.net/10453/146843