A novel model predictive sliding mode control for AC/DC converters with output voltage and load resistance variations

He, T; Li, L; Zhu, J; Zheng, L

A novel model predictive sliding mode control for AC/DC converters with output voltage and load resistance variations

He, T Li, L

Zhu, J

Zheng, L

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Publication Type:: Conference Proceeding
Citation:: ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings, 2016
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	He, T	en_US
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Zheng, L	en_US
dc.date.available	2020-05-25T19:09:28Z
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings, 2016	en_US
dc.identifier.isbn	9781509007370	en_US
dc.identifier.uri	http://hdl.handle.net/10453/125850
dc.description.abstract	© 2016 IEEE. This paper presents a novel model predictive sliding mode control (MPSMC) strategy for a three-phase grid connected AC/DC converter. The grid current is predicted for controlling the active and reactive power flows for the next sampling time instead of predicting them directly. This MPSMC scheme employs a sliding mode control (SMC) algorithm to calculate the reference values of active and reactive powers in the cost function. The reaching, existing and tracking conditions are analyzed to ensure that the designed sliding surface and control law are effective to control the system. The simulation results by Matlab/Simulink show that the MPSMC strategy is able to meet the system requirements of active and reactive powers, as well as the DC output voltage. Compared with the results obtained from the conventional model predictive PI control (MPPIC) scheme, the proposed strategy can improve the dynamic performance dramatically in terms of the response speed under system disturbances, such as varying output voltage and load demand.	en_US
dc.relation.ispartof	ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings	en_US
dc.relation.isbasedon	10.1109/ECCE.2016.7854738	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	A novel model predictive sliding mode control for AC/DC converters with output voltage and load resistance variations	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
pubs.organisational-group	/University of Technology Sydney/Strength - CCET - Centre for Clean Energy Technology
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2016 IEEE. This paper presents a novel model predictive sliding mode control (MPSMC) strategy for a three-phase grid connected AC/DC converter. The grid current is predicted for controlling the active and reactive power flows for the next sampling time instead of predicting them directly. This MPSMC scheme employs a sliding mode control (SMC) algorithm to calculate the reference values of active and reactive powers in the cost function. The reaching, existing and tracking conditions are analyzed to ensure that the designed sliding surface and control law are effective to control the system. The simulation results by Matlab/Simulink show that the MPSMC strategy is able to meet the system requirements of active and reactive powers, as well as the DC output voltage. Compared with the results obtained from the conventional model predictive PI control (MPPIC) scheme, the proposed strategy can improve the dynamic performance dramatically in terms of the response speed under system disturbances, such as varying output voltage and load demand.

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http://hdl.handle.net/10453/125850