Model Predictive Control for Power Converters and Drives: Advances and Trends

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dc.contributor.authorVazquez, Sergio
dc.contributor.authorRivera, Marco
dc.contributor.authorFranquelo, Leopoldo G.
dc.contributor.authorNorambuena, Margarita
dc.date.accessioned2024-09-02T16:36:28Z
dc.date.available2024-09-02T16:36:28Z
dc.date.issued2017-02
dc.descriptionIndexación: Scopus
dc.description.abstractModel predictive control (MPC) is a very attractive solution for controlling power electronic converters. The aim of this paper is to present and discuss the latest developments in MPC for power converters and drives, describing the current state of this control strategy and analyzing the new trends and challenges it presents when applied to power electronic systems. The paper revisits the operating principle of MPC and identifies three key elements in the MPC strategies, namely the prediction model, the cost function, and the optimization algorithm. This paper summarizes the most recent research concerning these elements, providing details about the different solutions proposed by the academic and industrial communities. © 2016 IEEE.
dc.description.urihttps://ieeexplore-ieee-org.recursosbiblioteca.unab.cl/document/7733147
dc.identifier.citationIEEE Transactions on Industrial Electronics Volume 64, Issue 2, Pages 935 - 947February 2017 Article number 7733147
dc.identifier.doi10.1109/TIE.2016.2625238
dc.identifier.issn0278-0046
dc.identifier.urihttps://repositorio.unab.cl/handle/ria/59714
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.rights.licenseAtribución/Reconocimiento 4.0 Internacional
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.es
dc.subjectAC-DC power conversion
dc.subjectdc-ac power conversion
dc.subjectpower electronics
dc.subjectPredictive control
dc.titleModel Predictive Control for Power Converters and Drives: Advances and Trends
dc.typeArtículo
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