Fast Low-Computation Sequential Model Predictive Control for Mid-Point Potential Balancing

To address the large mid-point potential fluctuation issue of Active Neutral Point Clamped (ANPC) when traditional finite control set model predictive control (FCSMPC) is adopted, this paper proposes a sequential model predictive control method (S-MPC) for midpoint potential optimization. The proposed strategy constructed the cost functions by two models, i.e., current and mid-point potential models in sequence according to a certain priority rule. Simulation and experimental results validate the effectiveness of the proposed method on mid-point potential balancing.

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Publication Details

Published
2025-06-05
DOI
https://doi.org/10.1109/precede63178.2025.11130990
Primary Topic
Catalytic Processes in Materials Science
Type
article
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article

Fast Low-Computation Sequential Model Predictive Control for Mid-Point Potential Balancing

Zichen Liu, Zhi-Hong Ji, Wenjie Liu, Yiming Xu et al.
Catalytic Processes in Materials Science
article

Fast Low-Computation Sequential Model Predictive Control for Mid-Point Potential Balancing

Zichen Liu, Zhi-Hong Ji, Wenjie Liu, Yiming Xu, Yunfeng Wang, Weilin Li, Guangcheng Zhang
article en

Abstract

To address the large mid-point potential fluctuation issue of Active Neutral Point Clamped (ANPC) when traditional finite control set model predictive control (FCSMPC) is adopted, this paper proposes a sequential model predictive control method (S-MPC) for midpoint potential optimization. The proposed strategy constructed the cost functions by two models, i.e., current and mid-point potential models in sequence according to a certain priority rule. Simulation and experimental results validate the effectiveness of the proposed method on mid-point potential balancing.

Northwestern Polytechnical University (CN), Civil Aviation University of China (CN)
Openalex Percentile: Top 83%
Catalytic Processes in Materials Science
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Fast Low-Computation Sequential Model Predictive Control for Mid-Point Potential Balancing — Zichen Liu, Zhi-Hong Ji, et al. · (2025) | TGRS Research Map | TGRS