A Novel Simplified Implementation of Finite-Set Model Predictive Control for Power Converters

Silva, José J.; Rohten, Jaime; Pulido, Esteban S.; Villarroel, Felipe; Andreu, Marcos

doi:10.1109/access.2021.3094864

Cited by 8 publications

(6 citation statements)

References 32 publications

(40 reference statements)

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“…In [13] a new concept No-Iteration-MPC (NI-MPC) is proposed to simplify the implementation of a FS-MPC for an AFE converter (8 states), which does not require a cost function, present a 43% reduction in the computational cost, and has the same behavior in the output electrical variables with respect to the FS-MPC conventional method. However, this work does not present the formulation of this concept for other more complex converter topologies, especially those with a significant number of states, where the computational effort when using a cost function is much higher.…”

Section: Introductionmentioning

confidence: 99%

A Honeycomb-Like Predictive Controller With a Reduced Computational Burden for Three-Level NPC Converters

Silva,

Rohten,

Villarroel

et al. 2024

IEEE Trans. Power Electron.

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This paper presents a predictive control strategy to control a photovoltaic plant based on bifacial photovoltaic (BPV) panels connected to the electrical grid through a three-phase neutral point clamped (NPC) power converter. Electricity generation plants based on nonconventional renewable energies are affected by the availability of the natural resource and grid changes. To achieve optimal use of natural resources and equipment, BPV cells must operate at the maximum power point and the currents injected into a grid must be in phase with the voltages. Due to the high number of states, one important drawback of conventional predictive control in the NPC converter is its computational burden. The proposed controller avoids the use of a cost function and can achieve the same control objectives with only 20% of the computational cost of the conventional strategy. To achieve this reduction the proposed strategy exploits the operating area of the converter, separating the possible voltages in hexagons, which results in a shape like a honeycomb. Simulation and experimental results show the feasibility of the proposed method in different operating conditions.

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Section: Introductionmentioning

confidence: 99%

A Honeycomb-Like Predictive Controller With a Reduced Computational Burden for Three-Level NPC Converters

Silva,

Rohten,

Villarroel

et al. 2024

IEEE Trans. Power Electron.

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“…To accomplish N samples per second, a variable sample controller should be introduced [ 10 ] in the digital board. Due to the variable sample time algorithm’s quick dynamic response, it is possible to neglect this dynamic in the rectifier current and voltage controller design [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Power Converter Resonant Control for an Unbalanced and Non-Constant Frequency Supply

Rohten

Villarroel

Silva

et al. 2023

Sensors

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Distorted voltage supplied as unbalanced and/or non-constant frequency can be found in weak grids, such as microgrids, or systems working in islanding mode. These kinds of systems are more sensitive under load changes. Particularly, an unbalanced voltage supply may be produced for large, single-phase loads. On the other hand, the connection/disconnection of high current loads may lead to important frequency variation, especially in weak grids where the short circuit current capacity is reduced. These conditions make the control of the power converter a more difficult task, because of the variations in the frequency and unbalancing. To address these issues, this paper proposes a resonant control algorithm to deal with variations in the voltage amplitude as well as grid frequency when a distorted power supply is considered. The frequency variation is an important drawback for resonant control because the resonance must be tuned at the grid frequency. This issue is overcome by using a variable sampling frequency in order to avoid re-tuning the controller parameters. On the other hand, under unbalanced conditions, the proposed method relaxes the phase with lower voltage amplitude by taking more power from the other phases in order to help the stability of the grid supply. To corroborate the mathematical analysis and the proposed control, a stability study is performed, including experimental and simulated results.

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“…To solve these problems, a simplification method of FCS-MPC has been proposed and discussed in [25][26][27]. In [25], sector distribution on a source voltage vector to reduce the Though this method reduces the program running time, the input and output performance may be affected since the selected switching vector based on this method is not the necessarily the optimal switching vector.…”

Section: Introductionmentioning

confidence: 99%

“…The proposed simplified method is not completely equivalent to the original method. The method in [26] identified the optimal operating state directly from the model and the discrete number of valid states of the converter. The main advantage of this technique is that it reduces the computational cost by 43% of the algorithm that selects the best state, presenting a simple and complete algorithm without compromising the predictive control performance.…”

Section: Introductionmentioning

confidence: 99%

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Simplified model predictive current control based on fast vector selection method in a VIENNA rectifier

Song

Yang

Zhu

et al. 2022

IET Power Electronics

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This paper presents a simplified finite‐control‐set model predictive control (S‐FCS‐MPC) based on fast vector selection method in a three‐level VIENNA rectifier. This method features a high‐power factor, a low input current THD as a well‐controlled DC‐link voltage with fewer redundant vectors and lower computational load. Moreover, the converter with the proposed control technique exhibits a faster dynamic response in terms of input current and DC‐link voltage compared with conventional finite‐control‐set model predictive control (C‐FCS‐MPC). In addition, the average switching frequency can be effectively reduced due to fewer switching times in a subset sector using the proposed method, which means fewer switching losses. Finally, the operation principle of the proposed algorithm has been analysed and an execution time comparison between S‐FCS‐MPC and C‐FCS‐M has been undertaken. The effectiveness of the proposed control technique has been validated using both simulation and experimental results.

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A Novel Simplified Implementation of Finite-Set Model Predictive Control for Power Converters

Cited by 8 publications

References 32 publications

A Honeycomb-Like Predictive Controller With a Reduced Computational Burden for Three-Level NPC Converters

A Honeycomb-Like Predictive Controller With a Reduced Computational Burden for Three-Level NPC Converters

Power Converter Resonant Control for an Unbalanced and Non-Constant Frequency Supply

Simplified model predictive current control based on fast vector selection method in a VIENNA rectifier

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