Improved Deadbeat Predictive Current Control to Enhance the Performance of the Drive System of Permanent Magnet Synchronous Motors

Ba, X; Wang, P; Zhang, C; Zhu, JG; Guo, Y

Improved Deadbeat Predictive Current Control to Enhance the Performance of the Drive System of Permanent Magnet Synchronous Motors

Ba, X Wang, P Zhang, C Zhu, JG Guo, Y

Permalink

Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Applied Superconductivity, 2021, 31, (8)
Issue Date:: 2021-11-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

The embargo period expires on 28 May 2023

Adobe PDF

Download Published versionAdobe PDF (675.82 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Ba, X
dc.contributor.author	Wang, P
dc.contributor.author	Zhang, C
dc.contributor.author	Zhu, JG
dc.contributor.author	Guo, Y https://orcid.org/0000-0001-6182-0684
dc.date.accessioned	2022-05-04T22:03:19Z
dc.date.available	2022-05-04T22:03:19Z
dc.date.issued	2021-11-01
dc.identifier.citation	IEEE Transactions on Applied Superconductivity, 2021, 31, (8)
dc.identifier.issn	1051-8223
dc.identifier.issn	1558-2515
dc.identifier.uri	http://hdl.handle.net/10453/157020
dc.description.abstract	Thanks to the features of fast dynamic response, excellent static tracking performance, and less computation efforts, the deadbeat predictive current control (DPCC) has been widely applied for permanent magnet synchronous motors (PMSMs) in various applications like electric vehicles, where high speed operation is often adopted for achieving high power density of the drive system. However, the DPCC is a model-parameter-sensitive control method, so inaccuracy of the PMSM model or model parameter mismatch will cause significant deviation in predicting the further behavior of the control variables. To address this issue, an improved DPCC with a novel predictive model of PMSM is proposed in this paper. The novel predictive model considers the core loss of the PMSM, which may be a significant part of the electromagnetic loss but neglected in the traditional DPCC. As a case study, the proposed DPCC is used to analyze the characteristics of a claw pole PMSM drive system. To validate the merits of the improved DPCC, the analysis results are compared with those of the traditional DPCC.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Transactions on Applied Superconductivity
dc.relation.isbasedon	10.1109/TASC.2021.3101750
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0204 Condensed Matter Physics, 0906 Electrical and Electronic Engineering, 0912 Materials Engineering
dc.subject.classification	General Physics
dc.title	Improved Deadbeat Predictive Current Control to Enhance the Performance of the Drive System of Permanent Magnet Synchronous Motors
dc.type	Journal Article
utslib.citation.volume	31
utslib.for	0204 Condensed Matter Physics
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0912 Materials 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	2023-05-28T00:00:00+1000Z
dc.date.updated	2022-05-04T22:03:17Z
pubs.issue	8
pubs.publication-status	Published
pubs.volume	31
utslib.citation.issue	8

Abstract:

Thanks to the features of fast dynamic response, excellent static tracking performance, and less computation efforts, the deadbeat predictive current control (DPCC) has been widely applied for permanent magnet synchronous motors (PMSMs) in various applications like electric vehicles, where high speed operation is often adopted for achieving high power density of the drive system. However, the DPCC is a model-parameter-sensitive control method, so inaccuracy of the PMSM model or model parameter mismatch will cause significant deviation in predicting the further behavior of the control variables. To address this issue, an improved DPCC with a novel predictive model of PMSM is proposed in this paper. The novel predictive model considers the core loss of the PMSM, which may be a significant part of the electromagnetic loss but neglected in the traditional DPCC. As a case study, the proposed DPCC is used to analyze the characteristics of a claw pole PMSM drive system. To validate the merits of the improved DPCC, the analysis results are compared with those of the traditional DPCC.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/157020