Design and control optimization of linear induction motor drive for efficiency improvement

Hu, D; Xu, W; Lei, G; Zhu, J

Design and control optimization of linear induction motor drive for efficiency improvement

Hu, D Xu, W Lei, G

Zhu, J

Permalink

Publication Type:: Conference Proceeding
Citation:: 2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017, 2017
Issue Date:: 2017-10-02

Closed Access

	Filename	Description	Size
	08056320.pdf	Published version	452.22 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Hu, D	en_US
dc.contributor.author	Xu, W	en_US
dc.contributor.author	Lei, G https://orcid.org/0000-0002-8369-6802	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.date.issued	2017-10-02	en_US
dc.identifier.citation	2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017, 2017	en_US
dc.identifier.isbn	9781538632468	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126159
dc.description.abstract	© 2017 IEEE. Linear induction motor (LIM) drive suffers heavily from low efficiency due to its large air-gap length, the end-effects, and the partial load working conditions. Therefore, an optimization method is proposed in this paper to improve the LIM drive operating efficiency from both design and control levels. First, the genetic algorithm (GA) is applied to design optimization of LIM to attain higher efficiency and power factor. Second, a novel loss model for LIM drive is proposed to analyze both LIM loss and inverter loss. Third, efficiency optimization control (EOC) scheme based on the loss model is put forward to improve the LIM drive working efficiency. Simulations and experimental results validate the effectiveness of the proposed method in efficiency improvement of LIM drive under various operation conditions.	en_US
dc.relation.ispartof	2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017	en_US
dc.relation.isbasedon	10.1109/ICEMS.2017.8056320	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Design and control optimization of linear induction motor drive for efficiency improvement	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	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/Strength - CCET - Centre for Clean Energy Technology
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2017 IEEE. Linear induction motor (LIM) drive suffers heavily from low efficiency due to its large air-gap length, the end-effects, and the partial load working conditions. Therefore, an optimization method is proposed in this paper to improve the LIM drive operating efficiency from both design and control levels. First, the genetic algorithm (GA) is applied to design optimization of LIM to attain higher efficiency and power factor. Second, a novel loss model for LIM drive is proposed to analyze both LIM loss and inverter loss. Third, efficiency optimization control (EOC) scheme based on the loss model is put forward to improve the LIM drive working efficiency. Simulations and experimental results validate the effectiveness of the proposed method in efficiency improvement of LIM drive under various operation conditions.

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

http://hdl.handle.net/10453/126159