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Optimal Vector Sequence Model Predictive Control to Suppress Common-Mode Voltage for Five-Level Converters
Author(s) -
Xiaomin Han,
Qifeng Han,
Mingmin Liu,
Hongliang Zhang
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3613592
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
In this paper, an optimal vector sequence model predictive control (OVS-MPC) is proposed for the five-level active neutral-point-clamped (5L-ANPC) converter to suppress the common-mode voltage (CMV). OVS-MPC not only reduces the amplitude of CMV but also decreases its dv/dt value. The step CMV value per sampling period has only two types: greater than zero or less than zero, which greatly reduces the dv/dt value. The OVS-MPC achieves a fixed switching frequency, with one phase state remaining unchanged and the other two phases changing only once per sampling period. In addition, the switching sequence is redesigned in the OVS-MPC to reduce the switching losses between adjacent sampling periods. The cost function does not contain any weighting factors, and it can determine the sub-sectors, select the candidate vectors, and calculate the duty ratios. Finally, the simulation and experiment are conducted on a 5L-ANPC platform. Compared with existing MPC strategies, the OVS-MPC can significantly reduce the RMS value of CMV, and the CMV amplitude will not increase under all modulation indices.

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