Model Predictive Control-A Simple and Powerful Method to Control Power Converters

Kouro S.; Cortes P.; Vargas R.; Ammann U.; Rodriguez J.

Abstract

This paper presents a detailed description of Finite Control Set Model Predictive Control (FCS-MPC) applied to power converters. Several key aspects related to this methodology are, in depth, presented and compared with traditional power converter control techniques, such as linear controllers with pulsewidth-modulation-based methods. The basic concepts, operating principles, control diagrams, and results are used to provide a comparison between the different control strategies. The analysis is performed on a traditional three-phase voltage source inverter, used as a simple and comprehensive reference frame. However, additional topologies and power systems are addressed to highlight differences, potentialities, and challenges of FCS-MPC. Among the conclusions are the feasibility and great potential of FCS-MPC due to present-day signal-processing capabilities, particularly for power systems with a reduced number of switching states and more complex operating principles, such as matrix converters. In addition, the possibility to address different or additional control objectives easily in a single cost function enables a simple, flexible, and improved performance controller for power-conversion systems. © 2009 IEEE.

Más información

Título según WOS: Model Predictive Control-A Simple and Powerful Method to Control Power Converters
Título según SCOPUS: Model predictive control - A simple and powerful Method to control power converters
Título de la Revista: IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volumen: 56
Número: 6
Editorial: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Fecha de publicación: 2009
Página de inicio: 1826
Página final: 1838
Idioma: English
URL: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4682711
DOI:

10.1109/TIE.2008.2008349

Notas: ISI, SCOPUS