scholarly journals A Novel Cascaded Multilevel Converter Topology Based on Three-Phase Cells—CHB-SDC

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4789
Author(s):  
Renner Sartório Camargo ◽  
Daniel Santamargarita Mayor ◽  
Alvar Mayor Miguel ◽  
Emilio José Bueno ◽  
Lucas Frizera Encarnação
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Low Voltage ◽  
Short Circuit ◽  
Vector Model ◽  
Circuit Switching ◽  
Multilevel Converter ◽  
Multilevel Converters ◽  
Three Phase ◽  
Converter Topology

This paper proposes a new cascaded multilevel converter topology based on three-phase H bridge cells with a common DC-link structure. The proposed multilevel converter topology main advantages, compared with literature renowned multilevel converters topologies, are discussed in the paper, such as modularity, construction, implementation cost, and DC voltage ripple mitigation. Despite presenting an elementary structure and easy implementation, the use of classic PWM switching strategies is not feasible for this topology, causing the appearance of several short-circuit states between its capacitors. Thus, a graph theory algorithm combined with a model predictive control is also proposed in this work to identify and avoid the new cascaded multilevel converter short-circuit switching states and, concomitantly, guaranteeing the converter output power quality. In order to validate the presented topology applicability, a low voltage synchronous static compensators (STATCOM) with an optimal switching vector model predictive control (OSV-MPC) is implemented in a hardware-in-the-loop platform. The real-time experimental results prove the proposed multilevel topology and the OSV-MPC control strategy effectiveness.

A Novel Cascaded Multilevel Converter Topology Based on Three-Phase Cells with Model Predictive Control

2020 ◽  
Author(s):  
Renner Sartorio Camargo ◽  
Daniel Santamargarita Mayor ◽  
Lucas De Mingo Fernandes ◽  
Alvar Mayor Miguel ◽  
Emilio Jose Bueno Pena ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Multilevel Converter ◽  
Three Phase ◽  
Converter Topology

scholarly journals A Reverse Model Predictive Control Strategy for a Modular Multilevel Converter

Energies ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 297 ◽  
Author(s):  
Weide Guan ◽  
Shoudao Huang ◽  
Derong Luo ◽  
Fei Rong
Keyword(s):  
Computational Complexity ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Control Performance ◽  
Multilevel Converter ◽  
Multilevel Converters ◽  
Computational Burden ◽  
Modular Multilevel Converters ◽  
The Cost ◽  
Fast Dynamic

In recent years, modular multilevel converters (MMCs) have developed rapidly, and are widely used in medium and high voltage applications. Model predictive control (MPC) has attracted wide attention recently, and its advantages include straightforward implementation, fast dynamic response, simple system design, and easy handling of multiple objectives. The main technical challenge of the conventional MPC for MMC is the reduction of computational complexity of the cost function without the reduction of control performance of the system. Some modified MPC scan decrease the computational complexity by evaluating the number of on-state sub-modules (SMs) rather than the number of switching states. However, the computational complexity is still too high for an MMC with a huge number of SMs. A reverse MPC (R-MPC) strategy for MMC was proposed in this paper to further reduce the computational burden by calculating the number of inserted SMs directly, based on the reverse prediction of arm voltages. Thus, the computational burden was independent of the number of SMs in the arm. The control performance of the proposed R-MPC strategy was validated by Matlab/Simulink software and a down-scaled experimental prototype.

scholarly journals Finite Control Set—Model Predictive Control with Non-Spread Spectrum and Reduced Switching Frequency Applied to Multi-Cell Rectifiers

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6045
Author(s):  
Eduardo Espinosa ◽  
José Espinoza ◽  
Pedro Melín ◽  
Jaime Rohten ◽  
Carlos Baier ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Spread Spectrum ◽  
Low Voltage ◽  
Theory And Practice ◽  
Switching Frequency ◽  
High Switching Frequency ◽  
Three Phase ◽  
Finite Control ◽  
Control Set

Multi-cell converters are widely used in medium-voltage AC drives. This equipment is based on power cells that operate with low-voltage-rating semiconductors and require an input multipulse transformer. This transformer cancels the low-frequency current harmonics generated by the three-phase diode-based rectifier. Unfortunately, this transformer is bulky, heavy, expensive, and does not extend the existing power cell (three-phase rectifier—Direct Current (DC) voltage-link—single-phase inverter) to the transformer. In this study, a harmonic cancelation method based on finite control set-model predictive control (FCS–MPC), extending the power cell’s modularity to the input transformer. On the other hand, it considers treating the two disadvantages of the FCS–MPC: High switching frequency and spread spectrum. The details were developed in theory and practice to obtain satisfactory experimental results.

scholarly journals Multi-Virtual-Vector Model Predictive Current Control for Dual Three-Phase PMSM

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7292
Author(s):  
Tianjiao Luan ◽  
Zhichao Wang ◽  
Yang Long ◽  
Zhen Zhang ◽  
Qi Li ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Current Control ◽  
Vector Model ◽  
Permanent Magnet Synchronous Machine ◽  
Control Performance ◽  
Voltage Vector ◽  
Three Phase ◽  
Tracking Ability ◽  
Zero Vector

This paper proposes a multi-virtual-vector model predictive control (MPC) for a dual three-phase permanent magnet synchronous machine (DTP-PMSM), which aims to regulate the currents in both fundamental and harmonic subspace. Apart from the fundamental α-β subspace, the harmonic subspace termed x-y is decoupled in multiphase PMSM according to vector space decomposition (VSD). Hence, the regulation of x-y currents is of paramount importance to improve control performance. In order to take into account both fundamental and harmonic subspaces, this paper presents a multi-virtual-vector model predictive control (MVV-MPC) scheme to significantly improve the steady performance without affecting the dynamic response. In this way, virtual vectors are pre-synthesized to eliminate the components in the x-y subspace and then a vector with adjustable phase and amplitude is composed of two effective virtual vectors and a zero vector. As a result, an enhanced current tracking ability is acquired due to the expanded output range of the voltage vector. Lastly, both simulation and experimental results are given to confirm the feasibility of the proposed MVV-MPC for DTP-PMSM.

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