76 / 2025-02-18 10:49:55
Fast Low-Computation Sequential Model Predictive Control for Mid-point Potential Balancing
Model Prediction Control,ANPC,Mid-Point Voltage Balance
Final Paper
Zhihong Ji / Northwestern Polytechnical University
Zichen Liu / Northwestern Polytechnical University
Yiming Xu / Northwestern Polytechnical University
Gerui Zhang / Northwestern Polytechnical University
Yunfeng Wang / Tianjin Aviation Electro-Mechanical Co., Ltd
Weilin Li / Northwestern Polytechnical University
Wenjie Liu / Northwestern Polytechnical University
To alleviate the imbalance and fluctuation issues when adopting traditional finite control set model prediction (FCS-MPC), a fast low-computation sequential model prediction control (S-MPC) for optimizing midpoint voltage balance is proposed. The method establishes the mathematical models of system output current and midpoint voltage separately and performs the optimization prediction of the cost functions constructed by the two models according to a certain priority. The S-MPC method is effective in controlling the midpoint voltage of the DC bus. Meanwhile, compared with the traditional model predictive control based on midpoint voltage balance (M-MPC), the S-MPC shows better results under the condition of unbalanced DC bus capacitance. Under the capacitance imbalance condition, the THD of the output current of S-MPC is reduced by 7.54% compared to that of FCS-MPC, while S-MPC is reduced by 1.96% compared to the conventional M-MPC.
Important Date
  • Conference Date

    Jun 05

    2025

    to

    Jun 01

    2026

  • May 30 2025

    Draft paper submission deadline

  • Jun 08 2025

    Registration deadline

Sponsored By
China Southeast University
IEEE Power Electronics Society
Jiangsu Association of Automation
Nanjing Section IE Chapter
Organized By
Southeast University