Artículo
Model Predictive Control for Power Converters and Drives: Advances and Trends
Autor/es | Vázquez Pérez, Sergio
Rodríguez, José Rivera, Marco García Franquelo, Leopoldo Norambuena, Margarita |
Departamento | Universidad de Sevilla. Departamento de Ingeniería Electrónica |
Fecha de publicación | 2017-02 |
Fecha de depósito | 2018-11-14 |
Publicado en |
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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, ... 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 |
Agencias financiadoras | Ministerio de Economía y Competitividad (MINECO). España Junta de Andalucía |
Identificador del proyecto | TEC2016-78430-R
P11-TIC-7070 |
Cita | Vázquez, S., Rodríguez, J., Rivera, M., Franquelo, Leopoldo G. y Norambuena, M. (2017). Model Predictive Control for Power Converters and Drives: Advances and Trends. IEEE Transactions on Industrial Electronics, 64 (2), 935-947. |
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