Model Predictive Control for Power Converters and Drives: Advances and Trends
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Archivos
Fecha
2017-02
Profesor/a Guía
Facultad/escuela
Idioma
en
Título de la revista
ISSN de la revista
Título del volumen
Editor
Institute of Electrical and Electronics Engineers Inc.
Nombre de Curso
Licencia CC
Atribución/Reconocimiento 4.0 Internacional
Licencia CC
https://creativecommons.org/licenses/by/4.0/deed.es
Resumen
Model 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.
Notas
Indexación: Scopus
Palabras clave
AC-DC power conversion, dc-ac power conversion, power electronics, Predictive control
Citación
IEEE Transactions on Industrial Electronics Volume 64, Issue 2, Pages 935 - 947February 2017 Article number 7733147
DOI
10.1109/TIE.2016.2625238