Design and Optimization Technologies of Permanent Magnet Machines and Drive Systems Based on Digital Twin Model

Liu, L; Guo, Y; Yin, W; Lei, G; Zhu, J

Design and Optimization Technologies of Permanent Magnet Machines and Drive Systems Based on Digital Twin Model

Liu, L Guo, Y

Yin, W Lei, G

Zhu, J

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Energies, 2022, 15, (17)
Issue Date:: 2022-09-01

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Field	Value	Language
dc.contributor.author	Liu, L
dc.contributor.author	Guo, Y https://orcid.org/0000-0001-6182-0684
dc.contributor.author	Yin, W
dc.contributor.author	Lei, G https://orcid.org/0000-0002-8369-6802
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047
dc.date.accessioned	2023-03-09T04:34:37Z
dc.date.available	2023-03-09T04:34:37Z
dc.date.issued	2022-09-01
dc.identifier.citation	Energies, 2022, 15, (17)
dc.identifier.issn	1996-1073
dc.identifier.issn	1996-1073
dc.identifier.uri	http://hdl.handle.net/10453/166782
dc.description.abstract	One of the keys to the success of the fourth industrial revolution (Industry 4.0) is to empower machinery with cyber–physical systems connectivity. The digital twin (DT) offers a promising solution to tackle the challenges for realizing digital and smart manufacturing which has been successfully projected in many scenes. Electrical machines and drive systems, as the core power providers in many appliances and industrial equipment, are supposed to be reinforced on the verge of Industry 4.0 in the fields of design optimization, fault prognostic and coordinated control. Therefore, this paper aims to investigate the DT modelling method and the applications in electrical drive systems. Firstly, taking the high-speed permanent-magnet machine drive system as an example, multi-disciplinary design fundamentals and technologies, aiming at building initial mechanism and simulation models, are reviewed. The state-of-the-art of DT technologies is figured out to serve for high-precision and multi-scale dynamic modelling, by which a framework for DT models of electrical drive systems is presented. More importantly, fault diagnosis and optimization strategies of electrical drive systems in the decision and application layer are also discussed for the DT models, followed by the conclusions presenting open questions and possible directions.
dc.language	English
dc.publisher	MDPI
dc.relation	http://purl.org/au-research/grants/arc/DP120104305
dc.relation	http://purl.org/au-research/grants/arc/DP180100470
dc.relation.ispartof	Energies
dc.relation.isbasedon	10.3390/en15176186
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	02 Physical Sciences, 09 Engineering
dc.title	Design and Optimization Technologies of Permanent Magnet Machines and Drive Systems Based on Digital Twin Model
dc.type	Journal Article
utslib.citation.volume	15
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/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2023-03-09T04:34:36Z
pubs.issue	17
pubs.publication-status	Published
pubs.volume	15
utslib.citation.issue	17

Abstract:

One of the keys to the success of the fourth industrial revolution (Industry 4.0) is to empower machinery with cyber–physical systems connectivity. The digital twin (DT) offers a promising solution to tackle the challenges for realizing digital and smart manufacturing which has been successfully projected in many scenes. Electrical machines and drive systems, as the core power providers in many appliances and industrial equipment, are supposed to be reinforced on the verge of Industry 4.0 in the fields of design optimization, fault prognostic and coordinated control. Therefore, this paper aims to investigate the DT modelling method and the applications in electrical drive systems. Firstly, taking the high-speed permanent-magnet machine drive system as an example, multi-disciplinary design fundamentals and technologies, aiming at building initial mechanism and simulation models, are reviewed. The state-of-the-art of DT technologies is figured out to serve for high-precision and multi-scale dynamic modelling, by which a framework for DT models of electrical drive systems is presented. More importantly, fault diagnosis and optimization strategies of electrical drive systems in the decision and application layer are also discussed for the DT models, followed by the conclusions presenting open questions and possible directions.

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http://hdl.handle.net/10453/166782