Low-Complexity Finite Control Set Model Predictive Control with Current Limit for Linear Induction Machines

Zou, J; Xu, W; Zhu, J; Liu, Y

Low-Complexity Finite Control Set Model Predictive Control with Current Limit for Linear Induction Machines

Zou, J Xu, W Zhu, J

Liu, Y

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Industrial Electronics, 2018, 65 (12), pp. 9243 - 9254
Issue Date:: 2018-12-01

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Field	Value	Language
dc.contributor.author	Zou, J	en_US
dc.contributor.author	Xu, W	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Liu, Y	en_US
dc.date.issued	2018-12-01	en_US
dc.identifier.citation	IEEE Transactions on Industrial Electronics, 2018, 65 (12), pp. 9243 - 9254	en_US
dc.identifier.issn	0278-0046	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132136
dc.description.abstract	© 1982-2012 IEEE. In order to limit the armature current within a safe region, this paper proposes a finite control set model predictive control (FCS-MPC) method for linear induction machines (LIMs) by adding a penalty overcurrent term in the cost function. The modulation strategies based on two and three voltage vectors are combined with FCS-MPC so as to reduce the current ripples and steady-state tracking errors. Three different search methods have been developed to help reduce the computational burden by excluding many unsuitable participating voltage vectors and combinations in advance. These search methods are also effective for FCS-MPC with current limit. Finally, some key performance indexes are fully compared for LIMs controlled by different FCS-MPC-based modulation strategies through comprehensive numerical simulation and experiments on a test bench with two 3-kW arc induction motors. It is shown that the proposed low-complexity control strategies can effectively avoid overcurrent under any circumstances.	en_US
dc.relation.ispartof	IEEE Transactions on Industrial Electronics	en_US
dc.relation.isbasedon	10.1109/TIE.2018.2807369	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Electrical & Electronic Engineering	en_US
dc.title	Low-Complexity Finite Control Set Model Predictive Control with Current Limit for Linear Induction Machines	en_US
dc.type	Journal Article
utslib.citation.volume	12	en_US
utslib.citation.volume	65	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 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.issue	12	en_US
pubs.publication-status	Published	en_US
pubs.volume	65	en_US

Abstract:

© 1982-2012 IEEE. In order to limit the armature current within a safe region, this paper proposes a finite control set model predictive control (FCS-MPC) method for linear induction machines (LIMs) by adding a penalty overcurrent term in the cost function. The modulation strategies based on two and three voltage vectors are combined with FCS-MPC so as to reduce the current ripples and steady-state tracking errors. Three different search methods have been developed to help reduce the computational burden by excluding many unsuitable participating voltage vectors and combinations in advance. These search methods are also effective for FCS-MPC with current limit. Finally, some key performance indexes are fully compared for LIMs controlled by different FCS-MPC-based modulation strategies through comprehensive numerical simulation and experiments on a test bench with two 3-kW arc induction motors. It is shown that the proposed low-complexity control strategies can effectively avoid overcurrent under any circumstances.

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http://hdl.handle.net/10453/132136