MPC-SVM method with subdivision strategy for current ripples reduction and neutral-point voltage balance in three-level inverter

Moon, Hyun-Cheol; Lee, June-Seok; Lee, June-Hee; Lee, Kyo‐Beum

doi:10.1109/ecce.2017.8095780

Cited by 7 publications

(5 citation statements)

References 18 publications

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“…In [117], two cascaded MPC technique with SVM was applied on 3L-T type inverter. The technique divides the control objectives into two separate MPC, one for the current and one for the voltage where the optimal solutions are independently determined.…”

Section: E Fcs-mpc Applied To 3l-mmcmentioning

confidence: 99%

Review on Single-DC-Source Multilevel Inverters: Voltage Balancing and Control Techniques

Trabelsi

Alquennah

Vahedi³

2022

IEEE Open J. Ind. Electron. Soc.

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Nowadays, Single-DC-Source Multilevel Inverter (SDCS-MLI) topologies are being considered as more suitable for many power system applications such as Renewable Energy (RE) conversion systems and electrified transportations compared to the Multiple-DC-Source MLIs (MDCS-MLIs). Voltage balancing of the auxiliary capacitors in those configurations is a major matter of concern. Different techniques have been developed to overcome this issue that can be mainly categorized as internal controller-based and external controller-based techniques. In the former techniques, the redundant switching states help balancing the capacitors voltages. On the other hand, the latter techniques involve external regulators to balance the capacitors' voltages. This paper analyzes most of the existing techniques to control and balance the capacitors voltages in SDCS-MLIs, such as PWM, SVM, Hysteresis control, MPC, sliding mode, and Artificial Intelligence (AI) based control techniques. Furthermore, a comprehensive comparison is presented to illustrate the advantages/disadvantages of each technique. Finally, some industrial challenges and future works are projected.

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Section: E Fcs-mpc Applied To 3l-mmcmentioning

confidence: 99%

Review on Single-DC-Source Multilevel Inverters: Voltage Balancing and Control Techniques

Trabelsi

Alquennah

Vahedi³

2022

IEEE Open J. Ind. Electron. Soc.

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“…This phenomenon may accidentally produce even harmonics, and affecting the reliable operation of the system. Aiming to solve the above defects effectively, various control strategies concerning the neutral point voltage balance have been presented, such as [27][28][29][30]. In this work, the neutral point potential balance control with presented FCS-MPC is discussed below.…”

Section: Preliminary: Working Principle Of the Fcs-mpcmentioning

confidence: 99%

Cost function‐based modulation scheme of model predictive control for VIENNA rectifier

Dang

Tong

Song

et al. 2019

IET Power Electronics

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Finite control set model predictive control (FCS-MPC) has been widely used in the control of grid-connected converters with the advantages of fast dynamics, multi-objective control, and easy implement. However, the conventional FCS-MPC bears with variable switching frequency, high current ripple and computational burden. An improved current model predictive with the cost function-based modulation scheme (CFM-MPC) is proposed for a three-phase three-level VIENNA rectifier to improve the power quality. First, the mathematical model and voltage vector are given according to the principle of deadbeat control. Then, the voltage vector of different voltage vectors are selected according to the location of the voltage vector reference, and the switching action time of the selected are directly calculated by the inversely proportional with cost function value of the selected vectors. It remains the merits of both the conventional MPC and space vector pulse width modulation schemes to track the optimum voltage vector without increasing the computational burden. Finally, a comparative study with the proposed CFM-MPC and conventional FCS-MPC has been conducted to verify the superiority of the proposed scheme. The results show the proposed CFM-MPC has the advantages of lower power ripple, fixed switching frequency, lower total harmonic distortion and neutral point potential balance.

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“…In recent years, discrete space-vector modulation (DSVM) has become a favorable approach for producing a large quantity of virtual VVs during a sampling period. The DSVM strategy was introduced to MPC for controlling power converters [22][23][24][25][26][27][28][29][30][31]. However, the system computation load increases largely due to the increased number of synthesized virtual vectors.…”

Section: Introductionmentioning

confidence: 99%

Improved Finite Set-Predictive Torque Control of PMSM Fed by Indirect Matrix Converter with Discrete Space Vector Modulation

2020

Self Cite

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This study presents finite set-predictive torque control (FS-PTC) with discrete space vector modulation (DSVM) for indirect matrix converter (IMC)-fed permanent magnet synchronous motors (PMSMs). The implementation of FS-PTC with DSVM in an IMC requires high computation time due to the large number of synthesized voltage vectors (VVs). To reduce computation time caused by considering all VVs, a new preselection strategy is proposed to reduce the computational numerations from 37 to 6 VVs. The proposed algorithm can reduce torque and flux ripples and achieve robust characteristics against parameter variations. Additionally, the increased degree of VVs can improve the correlation between the rectifier and inverter sides of the IMC. The effectiveness of the proposed method is verified by simulation and experimental results.

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MPC-SVM method with subdivision strategy for current ripples reduction and neutral-point voltage balance in three-level inverter

Cited by 7 publications

References 18 publications

Review on Single-DC-Source Multilevel Inverters: Voltage Balancing and Control Techniques

Review on Single-DC-Source Multilevel Inverters: Voltage Balancing and Control Techniques

Cost function‐based modulation scheme of model predictive control for VIENNA rectifier

Improved Finite Set-Predictive Torque Control of PMSM Fed by Indirect Matrix Converter with Discrete Space Vector Modulation

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