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

  • Zhihong Ji
  • , Zichen Liu
  • , Yiming Xu
  • , Gerui Zhang
  • , Yunfeng Wang
  • , Weilin Li
  • , Wenjie Liu
  • Northwestern Polytechnical University Xian
  • Ltd.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2025 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331528591
DOIs
StatePublished - 2025
Event2025 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2025 - Nanjing, China
Duration: 5 Jun 20258 Jun 2025

Publication series

Name2025 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2025

Conference

Conference2025 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2025
Country/TerritoryChina
CityNanjing
Period5/06/258/06/25

Keywords

  • ANPC three-level inverter
  • Midpoint potential
  • Sequential model predictive control

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