Model Predictive Control for Power Electronics Applications

Quevedo, DE; Aguilera Echeverria, RP; Geyer, T

Model Predictive Control for Power Electronics Applications

Quevedo, DE Aguilera Echeverria, RP

Geyer, T

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Publisher:: Springer
Publication Type:: Chapter
Citation:: Handbook of Model Predictive Control, 2019, pp. 551 - 580
Issue Date:: 2019

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Field	Value	Language
dc.contributor.author	Quevedo, DE	en_US
dc.contributor.author	Aguilera Echeverria, RP https://orcid.org/0000-0003-4166-8341	en_US
dc.contributor.author	Geyer, T	en_US
dc.contributor.editor	Raković, SV	en_US
dc.contributor.editor	Levine, WS	en_US
dc.date.issued	2019	en_US
dc.identifier.citation	Handbook of Model Predictive Control, 2019, pp. 551 - 580	en_US
dc.identifier.isbn	3319774891	en_US
dc.identifier.isbn	9783319774893	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133802
dc.description.abstract	Power electronics converters use switching elements to manipulate voltage and current waveforms. This enables the interconnection of components having different requirements, e.g., when incorporating renewable energy sources into the grid. The use of switching elements may lead to high energy efficiency. However, switching dynamical systems are difficult to analyse and design. In this chapter, we outline how model predictive control concepts can be used in power electronics and electrical drives. Special emphasis is given on the finite-set nature of manipulated variables and associated stability and optimization issues. For particular classes of system models, we discuss practical algorithms, which make long-horizon predictive control suitable for power electronics applicationsFrom a control systems perspective, power electronic systems give rise to in- trinsically challenging design problems. Specifically, three major challenges can be identified:	en_US
dc.publisher	Springer	en_US
dc.relation.ispartof	Handbook of Model Predictive Control	en_US
dc.relation.isbasedon	10.1007/978-3-319-77489-3_23	en_US
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	Model Predictive Control for Power Electronics Applications	en_US
dc.type	Chapter
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	in_progress	*
pubs.consider-herdc	true	en_US
pubs.publication-status	Published	en_US

Abstract:

Power electronics converters use switching elements to manipulate voltage and current waveforms. This enables the interconnection of components having different requirements, e.g., when incorporating renewable energy sources into the grid. The use of switching elements may lead to high energy efficiency. However, switching dynamical systems are difficult to analyse and design. In this chapter, we outline how model predictive control concepts can be used in power electronics and electrical drives. Special emphasis is given on the finite-set nature of manipulated variables and associated stability and optimization issues. For particular classes of system models, we discuss practical algorithms, which make long-horizon predictive control suitable for power electronics applicationsFrom a control systems perspective, power electronic systems give rise to in- trinsically challenging design problems. Specifically, three major challenges can be identified:

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http://hdl.handle.net/10453/133802