Novel Design Technique of Fuzzy Adaptive PI Regulator for Permanent Magnet Synchronous Motor

Da Huo, Zhibo Yang, Yuchao Wang, Bing Wang, Chao Gong

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

2 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Symposium on New Energy and Electrical Technology
EditorsWenping Cao, Cungang Hu, Xiangping Chen
PublisherSpringer Science and Business Media Deutschland GmbH
Pages657-669
Number of pages13
ISBN (Print)9789819905522
DOIs
StatePublished - 2023
Externally publishedYes
Event3rd International Symposium on New Energy and Electrical Technology, ISNEET 2022 - Anyang, China
Duration: 25 Aug 202227 Aug 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume1017 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference3rd International Symposium on New Energy and Electrical Technology, ISNEET 2022
Country/TerritoryChina
CityAnyang
Period25/08/2227/08/22

Keywords

  • Dynamics
  • Fuzzy adaptive PI
  • Parameter tuning
  • Permanent magnet synchronous machine

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