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State of the Art of Finite Control Set Model Predictive Control in Power Electronics

IEEE Transactions on Industrial Informatics · 2012 · Vol. 9(2) · pp. 1003–1016
José RodríguezMarian P. KaźmierkowskiJosé EspinozaPericle ZanchettaHaitham Abu‐RubHéctor YoungChristian A. Rojas

Abstract

This paper addresses to some of the latest contributions on the application of Finite Control Set Model Predictive Control (FCS-MPC) in Power Electronics. In FCS-MPC , the switching states are directly applied to the power converter, without the need of an additional modulation stage. The paper shows how the use of FCS-MPC provides a simple and efficient computational realization for different control objectives in Power Electronics. Some applications of this technology in drives, active filters, power conditioning, distributed generation and renewable energy are covered. Finally, attention is paid to the discussion of new trends in this technology and to the identification of open questions and future research topics.

Multilevel Inverters and ConvertersAdvanced DC-DC ConvertersMicrogrid Control and OptimizationPower electronicsModel predictive controlElectronicsRenewable energyRealization (probability)Computer scienceControl engineeringControl (management)EngineeringPower control
Citations
1,741
FWCI
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References
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Predictive Current Control of a Voltage Source Inverter
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FPGAs in Industrial Control Applications
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Delay Compensation in Model Predictive Current Control of a Three-Phase Inverter
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