Optimal design of a linear induction motor applied in transportation

Xu, W; Zhu, J; Tan, L; Guo, Y; Wang, S; Wang, Y

Optimal design of a linear induction motor applied in transportation

Xu, W Zhu, J

Tan, L Guo, Y

Wang, S Wang, Y

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the IEEE International Conference on Industrial Technology, 2009
Issue Date:: 2009-07-17

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Field	Value	Language
dc.contributor.author	Xu, W	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Tan, L	en_US
dc.contributor.author	Guo, Y https://orcid.org/0000-0001-6182-0684	en_US
dc.contributor.author	Wang, S	en_US
dc.contributor.author	Wang, Y	en_US
dc.date.issued	2009-07-17	en_US
dc.identifier.citation	Proceedings of the IEEE International Conference on Industrial Technology, 2009	en_US
dc.identifier.isbn	1424435064	en_US
dc.identifier.isbn	9781424435067	en_US
dc.identifier.uri	http://hdl.handle.net/10453/12665
dc.description.abstract	Several optimal design schemes of a single-sided linear induction motor (SLIM) adopted in linear metro are presented in this paper. Firstly, the equivalent circuit of SLIM fully considering the end effects, half-filled slots, back-iron saturation and skin effect is proposed, based on one-dimensional air-gap magnetic equations. In the circuit, several coefficients including longitudinal end effect coefficients Kr(s) and Kx(s), transversal end edge effect coefficients Cr(s) and Cx(s), and skin effect coefficient Kf are achieved by using the dummy electric potential method and complex power equivalence between primary and secondary sides. Furthermore, several optimal design restraint equations of SLIM are provided in order to improve the operational efficiency and reduce the primary weight. These nonlinear equations are solved by using genetic algorithm and mixture penalty function method. The optimal schemes are compared with the original design of one company, where analysis on parameters is made in detail. These results show that the optimal schemes are reasonable for improving the performance of SLIM.	en_US
dc.relation.ispartof	Proceedings of the IEEE International Conference on Industrial Technology	en_US
dc.relation.isbasedon	10.1109/ICIT.2009.4939540	en_US
dc.title	Optimal design of a linear induction motor applied in transportation	en_US
dc.type	Conference Proceeding
utslib.for	0902 Automotive Engineering	en_US
dc.location.activity	Gippsland, Australia	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	open_access
pubs.publication-status	Published	en_US

Abstract:

Several optimal design schemes of a single-sided linear induction motor (SLIM) adopted in linear metro are presented in this paper. Firstly, the equivalent circuit of SLIM fully considering the end effects, half-filled slots, back-iron saturation and skin effect is proposed, based on one-dimensional air-gap magnetic equations. In the circuit, several coefficients including longitudinal end effect coefficients Kr(s) and Kx(s), transversal end edge effect coefficients Cr(s) and Cx(s), and skin effect coefficient Kf are achieved by using the dummy electric potential method and complex power equivalence between primary and secondary sides. Furthermore, several optimal design restraint equations of SLIM are provided in order to improve the operational efficiency and reduce the primary weight. These nonlinear equations are solved by using genetic algorithm and mixture penalty function method. The optimal schemes are compared with the original design of one company, where analysis on parameters is made in detail. These results show that the optimal schemes are reasonable for improving the performance of SLIM.

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http://hdl.handle.net/10453/12665