Sequential model predictive control of direct matrix converter without weighting factors

Zhang, J; Li, L; Norambuena, M; Rodriguez, J; Dorrell, DG

Sequential model predictive control of direct matrix converter without weighting factors

Zhang, J

Li, L

Norambuena, M Rodriguez, J Dorrell, DG

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Publication Type:: Conference Proceeding
Citation:: Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, 2018, pp. 1477 - 1482
Issue Date:: 2018-12-26

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Field	Value	Language
dc.contributor.author	Zhang, J https://orcid.org/0000-0001-5304-6297	en_US
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.contributor.author	Norambuena, M	en_US
dc.contributor.author	Rodriguez, J	en_US
dc.contributor.author	Dorrell, DG https://orcid.org/0000-0001-8060-3386	en_US
dc.date.available	2020-11-01T18:06:04Z
dc.date.issued	2018-12-26	en_US
dc.identifier.citation	Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, 2018, pp. 1477 - 1482	en_US
dc.identifier.isbn	9781509066841	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133984
dc.description.abstract	© 2018 IEEE. The direct matrix converter (MC) is a promising converter that performs direct AC-to-AC conversion. Model predictive control (MPC) is a simple and powerful control strategy for power electronic converters including the MC. However, weighting factor design and heavy computational burden impose significant challenges for this control strategy. This paper investigates the sequential MPC (SMPC) for a three-phase direct MC. In this control strategy, each control objective has an individual cost function and these cost functions are evaluated sequentially based on priority. The complex weighting factor design process is not required and the computational burden can be reduced. In addition, specifying the priority for control objectives can be achieved. A comparative simulation study with standard MPC is carried out in Matlab/Simulink. Control performance is compared to the standard MPC and found to be comparable. Simulation results verify the effectiveness of the proposed strategy.	en_US
dc.relation.ispartof	Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society	en_US
dc.relation.isbasedon	10.1109/IECON.2018.8592697	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Sequential model predictive control of direct matrix converter without weighting factors	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
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. The direct matrix converter (MC) is a promising converter that performs direct AC-to-AC conversion. Model predictive control (MPC) is a simple and powerful control strategy for power electronic converters including the MC. However, weighting factor design and heavy computational burden impose significant challenges for this control strategy. This paper investigates the sequential MPC (SMPC) for a three-phase direct MC. In this control strategy, each control objective has an individual cost function and these cost functions are evaluated sequentially based on priority. The complex weighting factor design process is not required and the computational burden can be reduced. In addition, specifying the priority for control objectives can be achieved. A comparative simulation study with standard MPC is carried out in Matlab/Simulink. Control performance is compared to the standard MPC and found to be comparable. Simulation results verify the effectiveness of the proposed strategy.

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http://hdl.handle.net/10453/133984