Improved Model Predictive Control Method for the Reduced Active Switch Count Three-Level Rectifier with Unbalanced Neutral-Point Voltage Conditions

The control of reduced active switch count (RASC) three-level rectifier presents significant challenges under unbalanced dc links. To mitigate dc link voltage imbalances, the improved model predictive control (MPC) achieves neutral-point voltage regulation through strategic preselection of redundant small vectors in switching state optimization. To reduce the computational burden, an optimal sector-based optimization algorithm is proposed, which streamlines the vector selection process. Furthermore, the weighting factor is eliminated by strategically utilizing small vectors in the switching state selection. Finally, simulation studies ultimately corroborate the validity of the proposed control scheme. The presented approach achieves enhanced transient-regime behavior while maintaining stable steady-state operation.

Authors

Institutions

Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/ceepe64987.2025.11033763
Primary Topic
Multilevel Inverters and Converters
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improved Model Predictive Control Method for the Reduced Active Switch Count Three-Level Rectifier with Unbalanced Neutral-Point Voltage Conditions

Xu Han, Yuanyuan Zhou, Changwei Qin, Lei Yang et al.
Multilevel Inverters and Converters
article

Improved Model Predictive Control Method for the Reduced Active Switch Count Three-Level Rectifier with Unbalanced Neutral-Point Voltage Conditions

Xu Han, Yuanyuan Zhou, Changwei Qin, Lei Yang, Haoran Li, Xiaoyan Li
article en

Abstract

The control of reduced active switch count (RASC) three-level rectifier presents significant challenges under unbalanced dc links. To mitigate dc link voltage imbalances, the improved model predictive control (MPC) achieves neutral-point voltage regulation through strategic preselection of redundant small vectors in switching state optimization. To reduce the computational burden, an optimal sector-based optimization algorithm is proposed, which streamlines the vector selection process. Furthermore, the weighting factor is eliminated by strategically utilizing small vectors in the switching state selection. Finally, simulation studies ultimately corroborate the validity of the proposed control scheme. The presented approach achieves enhanced transient-regime behavior while maintaining stable steady-state operation.

Northwestern Polytechnical University (CN), Shandong Jianzhu University (CN), Shandong University of Finance and Economics (CN)
Natural Science Foundation of Shandong Province, Taishan Scholar Project of Shandong Province
Affordable and clean energy
Openalex Percentile: Top 88%
Multilevel Inverters and Converters
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.