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.
Authors
- Zichen Liu (ORCID: https://orcid.org/0000-0001-6694-6008)
- Zhi-Hong Ji
- Wenjie Liu (ORCID: https://orcid.org/0000-0002-9317-2869)
- Yiming Xu (ORCID: https://orcid.org/0000-0002-4775-848X)
- Yunfeng Wang (ORCID: https://orcid.org/0000-0002-4528-417X)
- Weilin Li (ORCID: https://orcid.org/0000-0002-7319-3611)
- Guangcheng Zhang (ORCID: https://orcid.org/0000-0001-5303-6355)
Institutions
- Northwestern Polytechnical University (CN)
- Civil Aviation University of China (CN)
Publication Details
- Published
- 2025-06-05
- DOI
- https://doi.org/10.1109/precede63178.2025.11130990
- Primary Topic
- Catalytic Processes in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00