Analytical nonlinear model for permanent magnet synchronous machine incorporating saturation saliencies

Wang, Y; Zhu, J; Wang, S; Guo, Y; Li, Y; Xu, W

Analytical nonlinear model for permanent magnet synchronous machine incorporating saturation saliencies

Wang, Y Zhu, J

Wang, S Guo, Y

Li, Y Xu, W

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Publication Type:: Conference Proceeding
Citation:: 2010 International Conference on Electrical Machines and Systems, ICEMS2010, 2010, pp. 1014 - 1019
Issue Date:: 2010-12-01

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Field	Value	Language
dc.contributor.author	Wang, Y	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Wang, S	en_US
dc.contributor.author	Guo, Y https://orcid.org/0000-0001-6182-0684	en_US
dc.contributor.author	Li, Y	en_US
dc.contributor.author	Xu, W	en_US
dc.date.issued	2010-12-01	en_US
dc.identifier.citation	2010 International Conference on Electrical Machines and Systems, ICEMS2010, 2010, pp. 1014 - 1019	en_US
dc.identifier.isbn	9788986510119	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16457
dc.description.abstract	This paper investigates the nonlinear model of the permanent magnet synchronous machines (PMSMs). In order to incorporate the structural and saturation saliencies, two parameters are defined to indicate the saturation ratios. An analytical model is derived and the inductance matrix is expressed in both stationary and rotating reference frames, respectively. An incremental inductance measure system is established, on which a real PMSM is tested and numerically simulated. The nonlinear inductance matrix is deduced and expressed by a nonlinear function, regressed from the experimental collected data. Based on the magnetic parameters observed from the prototype, the estimated inductance curves are compared with the experimentally measured curves. Finite Element Method (FEM) is also applied to verify the developed mathematic model. Finally, simulations and experiments are carried out to verify the proposed model. The results show that the proposed method can be applied to analytically express the machine nonlinearity.	en_US
dc.relation.ispartof	2010 International Conference on Electrical Machines and Systems, ICEMS2010	en_US
dc.title	Analytical nonlinear model for permanent magnet synchronous machine incorporating saturation saliencies	en_US
dc.type	Conference Proceeding
utslib.for	0913 Mechanical Engineering	en_US
dc.location.activity	Incheon	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/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic 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:

This paper investigates the nonlinear model of the permanent magnet synchronous machines (PMSMs). In order to incorporate the structural and saturation saliencies, two parameters are defined to indicate the saturation ratios. An analytical model is derived and the inductance matrix is expressed in both stationary and rotating reference frames, respectively. An incremental inductance measure system is established, on which a real PMSM is tested and numerically simulated. The nonlinear inductance matrix is deduced and expressed by a nonlinear function, regressed from the experimental collected data. Based on the magnetic parameters observed from the prototype, the estimated inductance curves are compared with the experimentally measured curves. Finite Element Method (FEM) is also applied to verify the developed mathematic model. Finally, simulations and experiments are carried out to verify the proposed model. The results show that the proposed method can be applied to analytically express the machine nonlinearity.

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http://hdl.handle.net/10453/16457