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Advanced Switching Sequences Based Model-Predictive Control for Single-Phase NPC Converters

delete2022-04-01
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Md. Ashib Rahman *
M
Md. Rabiul Islam
DOI:10.1109/TIE.2021.3071697delete
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摘要

摘要

En 中文
This article presents a continuous control set model-predictive control (MPC) technique based on advanced switching sequences (SSs) for a grid-connected single-phase three-level neutral-point-clamped converter. The SSs are developed considering the tracking performance of the current feed to the utility grid, the dc-bus capacitor voltage balancing, and the switching loss of the semiconductor devices. In the proposed strategy, with the same sampling frequency, the number of pole state changes (SCs) per control cycle is only two, while in the optimal SS and the modulated MPC (pulse pattern similar to the conventional space vector modulation technique) schemes, the number of pole SCs is four. The reduction in the number switching SCs per control cycle considerably reduces the switching loss of semiconductor devices. Moreover, to avoid the challenges of utilizing the weighting factor, a single-objective cost function is adopted to track the reference current, and the dc-bus capacitor voltages are balanced using the redundancy nature of the voltage vectors. Furthermore, the proposed scheme can ensure a fixed-switching-frequency operation, which is advantageous for selecting filter parameters during real-life implementation. The effectiveness of the proposed strategy is validated by the results obtained from both the simulation in MATLAB/Simulink and the experiment carried out using a downscaled laboratory test rig.
Keyword:
Voltage control
Switches
Control systems
Cost function
Switching loss
Predictive control
Capacitors
DC-bus voltage balancing
model-predictive control (MPC)
single-phase multilevel converter
switching loss
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期刊

IEEE Transactions on Industrial Electronics 封面图
IEEE Transactions on Industrial Electronics
IF:
7.2
论文数:
1.8W
被引数:
9.8W

机构

U
University of Wollongong
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1.3W
论文数: 1.6W
被引数: 2.8W
R
Rajshahi University of Engineering and Technology
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1.1K
论文数: 682
被引数: 950
D
Daffodil International University
学者数:
1.4K
论文数: 975
被引数: 18
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