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

Rodríguez, José; Kaźmierkowski, Marian P.; Espinoza, José; Zanchetta, Pericle; Abu‐Rub, Haitham; Young, Héctor; Rojas, Christian A.

doi:10.1109/tii.2012.2221469

Cited by 1,544 publications

(727 citation statements)

References 102 publications

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“…As a finite number of control actions are evaluated, this approach is called finite-control-set MPC (FCS-MPC). This technique has been extensively used for power converters because of the finite number of switching states they present [6]. Figure 4 shows the block diagram of FCS-MPC, where a generic converter is used to feed a generic load.…”

Section: Mpc For Power Convertersmentioning

confidence: 99%

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

Vázquez

Leon

Franquelo

et al. 2014

EEE Ind. Electron. Mag.

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993

374

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Section: Mpc For Power Convertersmentioning

confidence: 99%

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

Vázquez

Leon

Franquelo

et al. 2014

EEE Ind. Electron. Mag.

Self Cite

993

374

View full text Add to dashboard Cite

“…Predictive control uses the dynamic model of the system to predict its future behavior, and, based on this prediction, the proper switching state is selected [14]. Thanks to the accurate models available for the electrical systems, the finite number of feasible commutation states of the power converters, and the fast sampling frequencies achieved with the actual digital signal processors, predictive control has emerged as one of the most effective techniques for matrix converters [15]. This paper presents a predictive current control strategy for a single-phase matrix converter.…”

Section: Nomenclaturementioning

confidence: 99%

A predictive control strategy for a single-phase AC-AC converter

Rivera

Rojas

Wheeler

et al. 2016

2016 7th Power Electronics and Drive Systems Technologies Conference (PEDSTC)

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Abstract-This paper presents a finite control set model predictive current control strategy with a prediction horizon of one sampling time to control the single-phase matrix converter. The proposed current control strategy is based on a prediction calculation to select the switching states of the converter. By using a predictive cost function, the optimal switching state to be applied to the next sampling time is selected. This is done in order to obtain a good tracking of the load currents to their respective references. The feasibility of the proposed strategy is verified by simulation and experimental results, which show good dynamic and stationary performance.

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“…Under some conditions for PID gains, the globally (or semi-globally) asymptotic stability of a PD/PID set-point regulation controller for a robot system without consideration of external disturbances was proved in [2]. Although the PID controller has been shown in practice to be effective when applied to a robot manipulator, an asymptotic stability [3].…”

Section: Load Shifting and Demand Reductionmentioning

confidence: 99%

Control in Power Electronics

Alansari¹

2016

International Journal of Advanced Research in Computer and Comm

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Abstract:Metaheuristic methods have been demonstrated to be efficient tools to solve hard optimization problems. Most metaheuristics define a set of parameters that must be tuned. A good setup of that parameter values can lead to take advantage of the metaheuristic capabilities to solve the problem at hand. or predictive control algorithms based on typical linear controllers, exact and approximate methods for calculating optimal tunings are put forward. Optimally tuned predictive algorithms. an overview of results and future challenges related to temperature control and cost optimization in building energy systems. Control and economic optimization issues are discussed and illustrated through simulation examples. The paper concludes with results from model predictive control solutions and identification of important directions for future work.

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

Cited by 1,544 publications

References 102 publications

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

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

A predictive control strategy for a single-phase AC-AC converter

Control in Power Electronics

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