Model predictive control of cascaded H-bridge inverters based on a fast-optimization algorithm

Aguilera, RP; Baidya, R; Acuna, P; Vazquez, S; Mouton, T; Agelidis, VG

Model predictive control of cascaded H-bridge inverters based on a fast-optimization algorithm

Aguilera, RP Baidya, R Acuna, P Vazquez, S Mouton, T Agelidis, VG

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society, 2016, pp. 4003-4008
Issue Date:: 2016-01-25

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Field	Value	Language
dc.contributor.author	Aguilera, RP
dc.contributor.author	Baidya, R
dc.contributor.author	Acuna, P
dc.contributor.author	Vazquez, S
dc.contributor.author	Mouton, T
dc.contributor.author	Agelidis, VG
dc.date	2015-11-09
dc.date.accessioned	2023-03-27T02:50:24Z
dc.date.available	2023-03-27T02:50:24Z
dc.date.issued	2016-01-25
dc.identifier.citation	IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society, 2016, pp. 4003-4008
dc.identifier.isbn	9781479917624
dc.identifier.issn	1553-572X
dc.identifier.uri	http://hdl.handle.net/10453/168558
dc.description.abstract	© 2015 IEEE.In this work, a Finite Control Set Model Predictive Control (FCS-MPC) strategy for Cascaded H-bridge (CHB) inverters is proposed. The key novelty of our proposal comes from the way the cost function is designed. Generally, in standard FCS-MPC formulations for power converters, the cost function only considers the current tracking error. In this proposal, the proposed cost function also takes into account the control input tracking error. This allows one to obtain a reduced common-mode voltage during the steady-state while achieving a fast dynamic response during transients, similarly to the one provided by standard FCS-MPC. To account for calculation time, a fast-optimization algorithm based on sphere decoding is also considered. To verify the performance of the proposed predictive strategy, simulation results for a three phase five-level CHB inverter governed by the proposed FCS-MPC are presented.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society
dc.relation.ispartof	Annual Conference of the IEEE Industrial Electronics Society
dc.relation.ispartofseries	IEEE Industrial Electronics Society
dc.relation.isbasedon	10.1109/IECON.2015.7392724
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Model predictive control of cascaded H-bridge inverters based on a fast-optimization algorithm
dc.type	Conference Proceeding
utslib.location.activity	Yokahama, Japan
utslib.for	0906 Electrical and Electronic Engineering
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	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2023-03-27T02:50:23Z
pubs.finish-date	2015-11-12
pubs.publication-status	Published
pubs.start-date	2015-11-09

Abstract:

© 2015 IEEE.In this work, a Finite Control Set Model Predictive Control (FCS-MPC) strategy for Cascaded H-bridge (CHB) inverters is proposed. The key novelty of our proposal comes from the way the cost function is designed. Generally, in standard FCS-MPC formulations for power converters, the cost function only considers the current tracking error. In this proposal, the proposed cost function also takes into account the control input tracking error. This allows one to obtain a reduced common-mode voltage during the steady-state while achieving a fast dynamic response during transients, similarly to the one provided by standard FCS-MPC. To account for calculation time, a fast-optimization algorithm based on sphere decoding is also considered. To verify the performance of the proposed predictive strategy, simulation results for a three phase five-level CHB inverter governed by the proposed FCS-MPC are presented.

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http://hdl.handle.net/10453/168558