Performance Improvement of Model Predictive Current Control of Fault-Tolerant Five-Phase Flux-Switching Permanent Magnet Motor Drive

Huang, W; Hua, W; Chen, F; Qi, J; Zhu, J

Performance Improvement of Model Predictive Current Control of Fault-Tolerant Five-Phase Flux-Switching Permanent Magnet Motor Drive

Huang, W Hua, W Chen, F Qi, J

Zhu, J

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Publication Type:: Conference Proceeding
Citation:: 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018, 2018, pp. 3406 - 3412
Issue Date:: 2018-12-03

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Field	Value	Language
dc.contributor.author	Huang, W	en_US
dc.contributor.author	Hua, W	en_US
dc.contributor.author	Chen, F	en_US
dc.contributor.author	Qi, J https://orcid.org/0000-0003-3018-7788	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.date.issued	2018-12-03	en_US
dc.identifier.citation	2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018, 2018, pp. 3406 - 3412	en_US
dc.identifier.isbn	9781479973118	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133562
dc.description.abstract	© 2018 IEEE. To enhance the fault-tolerant performance of a five-phase flux-switching permanent magnet (FSPM) motor drive under open-circuit condition, an improved model predictive current control (MPCC) with simplified control set (SCS) and duty cycle optimization (DCO) is proposed and investigated in this paper. On the principle of minimizing harmonic voltages in x-y subspace, two zero switching states and the switching state, which generates a larger voltage vector in alpha-beta subspace are selected into SCS. Accordingly, the number of current predictions has been reduced, resulting in the alleviation of the computational workload. Moreover, DCO approach is applied in conjunction with the SCS-based MPCC to improve the steady-state performance. Finally, the effectiveness of the proposed MPCC method for open-circuit fault-tolerant five-phase FSPM motor drive is validated by comparative experiments.	en_US
dc.relation.ispartof	2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018	en_US
dc.relation.isbasedon	10.1109/ECCE.2018.8557984	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Performance Improvement of Model Predictive Current Control of Fault-Tolerant Five-Phase Flux-Switching Permanent Magnet Motor Drive	en_US
dc.type	Conference Proceeding
utslib.for	0907 Environmental 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
pubs.organisational-group	/University of Technology Sydney/Strength - CCET - Centre for Clean Energy Technology
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. To enhance the fault-tolerant performance of a five-phase flux-switching permanent magnet (FSPM) motor drive under open-circuit condition, an improved model predictive current control (MPCC) with simplified control set (SCS) and duty cycle optimization (DCO) is proposed and investigated in this paper. On the principle of minimizing harmonic voltages in x-y subspace, two zero switching states and the switching state, which generates a larger voltage vector in alpha-beta subspace are selected into SCS. Accordingly, the number of current predictions has been reduced, resulting in the alleviation of the computational workload. Moreover, DCO approach is applied in conjunction with the SCS-based MPCC to improve the steady-state performance. Finally, the effectiveness of the proposed MPCC method for open-circuit fault-tolerant five-phase FSPM motor drive is validated by comparative experiments.

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http://hdl.handle.net/10453/133562