A Data-Driven Method for Iron Loss Estimation in Bearingless Permanent Magnet Synchronous Motors

Xu, K; Guo, Y; Lei, G; Zhu, J

A Data-Driven Method for Iron Loss Estimation in Bearingless Permanent Magnet Synchronous Motors

Xu, K Guo, Y Lei, G

Zhu, J

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2023 IEEE International Future Energy Electronics Conference (IFEEC), 2024, 00, pp. 98-102
Issue Date:: 2024-03-19

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Field	Value	Language
dc.contributor.author	Xu, K
dc.contributor.author	Guo, Y
dc.contributor.author	Lei, G https://orcid.org/0000-0002-8369-6802
dc.contributor.author	Zhu, J
dc.date	2023-11-20
dc.date.accessioned	2024-04-29T05:58:45Z
dc.date.available	2024-04-29T05:58:45Z
dc.date.issued	2024-03-19
dc.identifier.citation	2023 IEEE International Future Energy Electronics Conference (IFEEC), 2024, 00, pp. 98-102
dc.identifier.isbn	979-8-3503-3989-5
dc.identifier.uri	http://hdl.handle.net/10453/178453
dc.description.abstract	This paper proposes a data driven iron loss estimation method to reduce the calculation time of iron loss in bearingless permanent magnet synchronous motors BPMSMs The iron loss calculation dataset is obtained by design of experiments and the iron loss prediction model is established under different input parameters and working conditions Firstly the stator core flux density changing rules at selected points are analyzed and the flux density components of different parts of iron loss are studied Secondly the effects of temperature and frequency on iron loss are studied Finally a data driven iron loss estimation method is established based on the nonlinear autoregressive exogenous NARX model using input current frequency and temperature data In the proposed method the iron loss of BPMSM under all working conditions is considered which significantly shortens the calculation time compared to the finite element analysis This method can be used to quickly obtain the iron loss variation range of each speed and different working conditions and provide a basis for calculating motor efficiency and design optimization
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2023 IEEE International Future Energy Electronics Conference (IFEEC)
dc.relation.ispartof	2023 IEEE International Future Energy Electronics Conference
dc.relation.isbasedon	10.1109/ifeec58486.2023.10458652
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A Data-Driven Method for Iron Loss Estimation in Bearingless Permanent Magnet Synchronous Motors
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	Sydney, Australia
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	closed_access	*
dc.date.updated	2024-04-29T05:58:42Z
pubs.finish-date	2023-11-23
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2023-11-20
pubs.volume	00
dc.location	Piscataway, USA

Abstract:

This paper proposes a data driven iron loss estimation method to reduce the calculation time of iron loss in bearingless permanent magnet synchronous motors BPMSMs The iron loss calculation dataset is obtained by design of experiments and the iron loss prediction model is established under different input parameters and working conditions Firstly the stator core flux density changing rules at selected points are analyzed and the flux density components of different parts of iron loss are studied Secondly the effects of temperature and frequency on iron loss are studied Finally a data driven iron loss estimation method is established based on the nonlinear autoregressive exogenous NARX model using input current frequency and temperature data In the proposed method the iron loss of BPMSM under all working conditions is considered which significantly shortens the calculation time compared to the finite element analysis This method can be used to quickly obtain the iron loss variation range of each speed and different working conditions and provide a basis for calculating motor efficiency and design optimization

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http://hdl.handle.net/10453/178453