@inproceedings{ec1be8fe56b0471783ac389cb3bd9d6e,
title = "Fuzzy Speed Control Method Based on Particle Swarm Optimization for Five-Phase PMSM",
abstract = "Five-phase permanent-magnet synchronous machine (FP-PMSM) attracts extensive interest due to their enhanced fault tolerance and power density. However, industrial applications also raise further requirements for dynamic response performance of FP-PMSM. To resolve this issue, a fuzzy speed control method based on particle swarm optimization for five-phase PMSM is proposed. The method integrates expertise-based PI adaptation, where fuzzy logic dynamically adjusts gains using real-time speed error and its derivative, with systematic particle swarm optimization (PSO) of fuzzy factors to overcome empirical tuning limitations in fuzzy factor tunning. Simulation results demonstrate that this PSO improved fuzzy-PI control strategy significantly improves transient performance with reduced overshoot and oscillation compared to conventional PID control, validating its effectiveness for high-performance PMSM drives.",
keywords = "PSOalgorithm, five-phase PMSM, fuzzy PI, self-tunning",
author = "Guangxuan Jin and Yi Sui and Ce Yan and Ziyu Zhou and Shijie Yang and Ping Zheng",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2025 ; Conference date: 25-11-2025 Through 28-11-2025",
year = "2025",
doi = "10.1109/ITECAsia-Pacific63742.2025.11345053",
language = "英语",
series = "Proceedings of the 2025 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of the 2025 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2025",
address = "美国",
}