Robust Flux Estimation Method for Linear Induction Motors Based on Improved Extended State Observers

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

Robust Flux Estimation Method for Linear Induction Motors Based on Improved Extended State Observers

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

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Publisher:: Institute of Electrical and Electronics Engineers
Publication Type:: Journal Article
Citation:: IEEE Transactions on Power Electronics, 2019, 34, (5), pp. 4628-4640
Issue Date:: 2019

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Field	Value	Language
dc.contributor.author	Xu, W
dc.contributor.author	Dian, R
dc.contributor.author	Liu, Y
dc.contributor.author	Hu, D
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047
dc.date.accessioned	2020-05-12T05:47:25Z
dc.date.available	2020-05-12T05:47:25Z
dc.date.issued	2019
dc.identifier.citation	IEEE Transactions on Power Electronics, 2019, 34, (5), pp. 4628-4640
dc.identifier.issn	0885-8993
dc.identifier.issn	1941-0107
dc.identifier.uri	http://hdl.handle.net/10453/140670
dc.description.abstract	IEEE Flux estimation is of great importance for high performance linear induction motor (LIM) drives. However, due to the end effects of LIMs, the mutual inductance and secondary resistance are seriously varied with the operation condition changing, and the flux estimation suffers from these LIM parameter variations. To alleviate the influence of these parameter variations, this paper proposes a new flux estimation algorithm based on two improved extended state observers (ESOs) with expanded bandwidth for observing disturbances. One of them is specially designed to observe the ac disturbance at certain frequency. Taking advantage of the improved ESOs, the robustness of the flux observer to parameter deviations can be significantly strengthened, and the vector control strategy based on this new flux observer can achieve better dynamic performance. Lastly, the effectiveness of the proposed method is validated by both simulation and experimental results on an LIM prototype.
dc.language	English
dc.publisher	Institute of Electrical and Electronics Engineers
dc.relation.ispartof	IEEE Transactions on Power Electronics
dc.relation.isbasedon	10.1109/TPEL.2018.2865800
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0906 Electrical and Electronic Engineering
dc.subject.classification	Electrical & Electronic Engineering
dc.title	Robust Flux Estimation Method for Linear Induction Motors Based on Improved Extended State Observers
dc.type	Journal Article
utslib.citation.volume	34
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CCET - Centre for Clean Energy 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
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-05-12T05:47:23Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	34
utslib.start-page	4628
utslib.citation.issue	5

Abstract:

IEEE Flux estimation is of great importance for high performance linear induction motor (LIM) drives. However, due to the end effects of LIMs, the mutual inductance and secondary resistance are seriously varied with the operation condition changing, and the flux estimation suffers from these LIM parameter variations. To alleviate the influence of these parameter variations, this paper proposes a new flux estimation algorithm based on two improved extended state observers (ESOs) with expanded bandwidth for observing disturbances. One of them is specially designed to observe the ac disturbance at certain frequency. Taking advantage of the improved ESOs, the robustness of the flux observer to parameter deviations can be significantly strengthened, and the vector control strategy based on this new flux observer can achieve better dynamic performance. Lastly, the effectiveness of the proposed method is validated by both simulation and experimental results on an LIM prototype.

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http://hdl.handle.net/10453/140670