@inproceedings{3297d747948c4f44ace45bdd5784b4f3,
title = "Novel Design Technique of Fuzzy Adaptive PI Regulator for Permanent Magnet Synchronous Motor",
abstract = "The traditional proportional integral (PI) controllers used for vector control of permanent magnet synchronous motors (PMSM) are characterized by poor adaptability, unsatisfying the requirement of optimal control. To solve the issue, this paper proposes a fuzzy adaptive PI regulator to regulate the machine speed. By designing the components of the fuzzy adaptive PI regulator, which include fuzzification, fuzzy control rules, membership functions and defuzzification, the structure of the controller is established. Besides, in terms of the problem that it is difficult to tune the parameters of the fuzzy adaptive PI regulator, a parameter tuning method based on classic control theory is proposed. The proposed parameter design method is able to maintain the system to keep stable during the whole control process and improve the dynamics of the system. It is easy to implement in practice. Finally, simulation results prove that the proposed fuzzy adaptive control and the parameter tuning methods are effective.",
keywords = "Dynamics, Fuzzy adaptive PI, Parameter tuning, Permanent magnet synchronous machine",
author = "Da Huo and Zhibo Yang and Yuchao Wang and Bing Wang and Chao Gong",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 3rd International Symposium on New Energy and Electrical Technology, ISNEET 2022 ; Conference date: 25-08-2022 Through 27-08-2022",
year = "2023",
doi = "10.1007/978-981-99-0553-9\_68",
language = "英语",
isbn = "9789819905522",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "657--669",
editor = "Wenping Cao and Cungang Hu and Xiangping Chen",
booktitle = "Proceedings of the 3rd International Symposium on New Energy and Electrical Technology",
}