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

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...

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Vydané v:IEEE transactions on industrial electronics (1982) Ročník 64; číslo 2; s. 935 - 947
Hlavní autori: Vazquez, Sergio, Rodriguez, Jose, Rivera, Marco, Franquelo, Leopoldo G., Norambuena, Margarita
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.02.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
AC–DC power conversion
Algorithms
Control systems
Cost function
dc–ac power conversion
Electronic systems
Optimization
Power converters
Power electronics
Prediction algorithms
Prediction models
Predictive control
Predictive models
Trends
ISSN:0278-0046, 1557-9948
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Popis
Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2016.2625238