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Journal ArticleDOI

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

TLDR
The paper shows how the use of FCS-MPC provides a simple and efficient computational realization for different control objectives in Power Electronics.
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.

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Citations
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Journal ArticleDOI

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

TL;DR: 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.
Journal ArticleDOI

Model Predictive Control: A Review of Its Applications in Power Electronics

TL;DR: Model-based predictive control (MPC) for power converters and drives is a control technique that has gained attention in the research community as mentioned in this paper, and it can easily handle multivariable case and system constraints and nonlinearities in a very intuitive way.
Journal ArticleDOI

High-Power Wind Energy Conversion Systems: State-of-the-Art and Emerging Technologies

TL;DR: The most successful generator-converter configurations are addressed along with few promising topologies available in the literature from the market based survey, and the past, present and future trends in megawatt WECS are reviewed in terms of mechanical and electrical technologies, integration to power systems, and control theory.
Journal ArticleDOI

Multistep Finite Control Set Model Predictive Control for Power Electronics

TL;DR: In this article, an efficient optimization algorithm for direct model predictive control with reference tracking of the converter current is proposed. But the computational burden of the algorithm is independent of the number of converter output levels, the concept is particularly suitable for multi-level topologies with a large number of voltage levels.
Journal ArticleDOI

Evolution of Topologies, Modeling, Control Schemes, and Applications of Modular Multilevel Converters

TL;DR: The development of MMC circuit topologies and their mathematical models over the years are presented and the evolution and technical challenges of the classical and model predictive control methods are discussed.
References
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Proceedings ArticleDOI

Boosting the performance of field-oriented control by using a model predictive direct current strategy

TL;DR: In this paper, a model predictive current controller is proposed to keep the α and β currents within given hysteresis bounds while minimizing the switching frequency of the inverter, which is applicable to a large class of (three-phase) ac electrical machines driven by inverters and also effective under all operating conditions, including transients operation.
Proceedings Article

Exact Predictive Direct Power Control of three-level NPC converters for wind power applications

TL;DR: The Predictive Direct Power Control (P-DPC) strategy computes the application times of several voltage-vectors included in a predefined sequence as mentioned in this paper, and proposes two improvements to this strategy: the exact solution of the control problem and the fastest possible transient.
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