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Virtual Voltage Vector-Based Model Predictive Current Control for Five-Phase VSIs With Common-Mode Voltage Reduction

delete2021-06-01
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PRE
AI
B
Bin Yu
W
Wensheng Song *
李建新 封面图
李建新 (Jianxin Li)
M
Mahmoud S. R. Saeed
DOI:10.1109/TTE.2020.3030793delete
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摘要

摘要

En 中文
Model predictive current control (MPCC) schemes have been considered as a promising control technique for voltage source inverters (VSIs). However, the computational burden reduction, harmonic currents elimination, and common-mode voltage (CMV) mitigation are special issues when MPCC schemes are applied to five-phase VSIs. Moreover, it is time-consuming to tune weighting factors for the multiple control objectives. To address these problems, this article proposes two computationally efficient MPCC schemes based on virtual voltage vectors (V(3)s), named MPCC-V-3-RCMV1 and MPCC-V-3-RCMV2. The former one achieves lower harmonics, whereas the latter one achieves lower switching frequency. The V(3)s are defined with basic voltage vectors that generate small CMV; hence, inherent CMV reduction can be achieved. The proposed MPCC schemes simplify the controller by redefining the cost function and control set, which reduces the computational effort significantly. Besides, the proposed MPCCs can improve the quality of current waveforms. Simulations and experiments are carried out to verify the effectiveness of the proposed control schemes.
Keyword:
Common-mode voltage (CMV)
five-phase voltage source inverters (VSIs)
model predictive current control (MPCC)
virtual voltage vectors (V(3)s)
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期刊

I
IEEE Transactions on Transportation Electrification
IF:
8.3
论文数:
2.9K
被引数:
1.6W

机构

S
Southwest Jiaotong University
学者数:
2.9W
论文数: 2.1W
被引数: 2.3W
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