Dynamic loss minimization control of linear induction machine

Hu, D; Xu, W; DIan, R; Liu, Y; Zhu, J

Dynamic loss minimization control of linear induction machine

Hu, D Xu, W DIan, R Liu, Y Zhu, J

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Publication Type:: Conference Proceeding
Citation:: 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017, 2017, 2017-January pp. 3598 - 3603
Issue Date:: 2017-11-03

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Field	Value	Language
dc.contributor.author	Hu, D	en_US
dc.contributor.author	Xu, W	en_US
dc.contributor.author	DIan, R	en_US
dc.contributor.author	Liu, Y	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.date.issued	2017-11-03	en_US
dc.identifier.citation	2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017, 2017, 2017-January pp. 3598 - 3603	en_US
dc.identifier.isbn	9781509029983	en_US
dc.identifier.uri	http://hdl.handle.net/10453/125818
dc.description.abstract	© 2017 IEEE. The linear induction machine (LIM) suffers heavily from low efficiency due to its large air-gap length, the influence of end-effects, and the partial load conditions. Several loss minimization control (LMC) techniques have been developed for LIM to adjust the flux to an optimal level to reduce the losses in the steady state. However, these methods are not applicable during dynamic process, since it requires much more complex modeling that leads to heavy computational burden due to the change of thrust in dynamic operation. In this paper, to solve the aforementioned problem, a novel LIM dynamic loss model is derived based on the full analysis of copper and core losses. A simple solution for online estimation of the optimal flux in dynamic operation and a practical dynamic LMC scheme are proposed to minimize the losses. Simulations and experiments are fully performed on a 3 kW LIM prototype, and demonstrate the effectiveness of the proposed method in loss minimization and energy saving during the dynamic process.	en_US
dc.relation.ispartof	2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017	en_US
dc.relation.isbasedon	10.1109/ECCE.2017.8096639	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Dynamic loss minimization control of linear induction machine	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2017-January	en_US
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
pubs.volume	2017-January	en_US

Abstract:

© 2017 IEEE. The linear induction machine (LIM) suffers heavily from low efficiency due to its large air-gap length, the influence of end-effects, and the partial load conditions. Several loss minimization control (LMC) techniques have been developed for LIM to adjust the flux to an optimal level to reduce the losses in the steady state. However, these methods are not applicable during dynamic process, since it requires much more complex modeling that leads to heavy computational burden due to the change of thrust in dynamic operation. In this paper, to solve the aforementioned problem, a novel LIM dynamic loss model is derived based on the full analysis of copper and core losses. A simple solution for online estimation of the optimal flux in dynamic operation and a practical dynamic LMC scheme are proposed to minimize the losses. Simulations and experiments are fully performed on a 3 kW LIM prototype, and demonstrate the effectiveness of the proposed method in loss minimization and energy saving during the dynamic process.

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http://hdl.handle.net/10453/125818