Multi-functional model predictive control with mutual influence elimination for three-phase AC/DC converters in energy conversion

Shi, X; Zhu, J; Lu, D; Li, L

Multi-functional model predictive control with mutual influence elimination for three-phase AC/DC converters in energy conversion

Shi, X

Zhu, J

Lu, D

Li, L

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Publication Type:: Journal Article
Citation:: Energies, 2019, 12 (9)
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Shi, X https://orcid.org/0000-0002-2337-9055	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Lu, D https://orcid.org/0000-0003-2145-0580	en_US
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.date.accessioned	2020-04-24T05:54:58Z
dc.date.available	2020-04-24T05:54:58Z
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	Energies, 2019, 12 (9)	en_US
dc.identifier.uri	http://hdl.handle.net/10453/140278
dc.description.abstract	© 2019 by the authors. Conventional model predictive control (MPC)-based direct power control of the three-phase full-bridge AC/DC converter usually suffers from the parametric coupling between active and reactive powers. A reference change of either the active or reactive power will influence the other, deteriorating the dynamic-state performance. In addition, the steady-state performance affected by one-step-delay arising from computation and communication processes in the digital implementation should be improved in consideration of switching frequency reduction. In combination with the proposed novel mutual influence elimination constraint, this paper proposes the multi-functional MPC for three-phase full-bridge AC/DC converters to improve both the steady and dynamic performances simultaneously. It has various advantages such as one-step-delay compensation, power ripple reduction, and switching frequency reduction for steady-state performance as well as mutual influence elimination for dynamic capability. The simulation and experimental results are obtained to verify the effectiveness of the proposed method.	en_US
dc.relation.ispartof	Energies	en_US
dc.relation.isbasedon	10.3390/en12091616	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Multi-functional model predictive control with mutual influence elimination for three-phase AC/DC converters in energy conversion	en_US
dc.type	Journal Article
utslib.citation.volume	9	en_US
utslib.citation.volume	12	en_US
utslib.for	02 Physical 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	open_access	*
pubs.issue	9	en_US
pubs.publication-status	Published	en_US
pubs.volume	12	en_US

Abstract:

© 2019 by the authors. Conventional model predictive control (MPC)-based direct power control of the three-phase full-bridge AC/DC converter usually suffers from the parametric coupling between active and reactive powers. A reference change of either the active or reactive power will influence the other, deteriorating the dynamic-state performance. In addition, the steady-state performance affected by one-step-delay arising from computation and communication processes in the digital implementation should be improved in consideration of switching frequency reduction. In combination with the proposed novel mutual influence elimination constraint, this paper proposes the multi-functional MPC for three-phase full-bridge AC/DC converters to improve both the steady and dynamic performances simultaneously. It has various advantages such as one-step-delay compensation, power ripple reduction, and switching frequency reduction for steady-state performance as well as mutual influence elimination for dynamic capability. The simulation and experimental results are obtained to verify the effectiveness of the proposed method.

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http://hdl.handle.net/10453/140278