Vector Control Strategy of Permanent Magnet Synchronous Motor Based on Fuzzy PID Control

Xiang Ji*, Lin Zou, Yahong Li, Mingming Dong

*Corresponding author for this work

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

Abstract

In recent years, the market demand for new energy vehicles is increasing, so more and more scholars are devoted to the research of this topic. Permanent magnet synchronous motors are widely used in the drive of electric vehicles because of their high efficiency and high power density. Therefore, the study of its control strategy is particularly important. The commonly used control strategy is vector control, but due to the complex working conditions faced by the vehicle, the traditional PID closed-loop control cannot meet the needs of real-time control. Based on the relevant theory of motor vector control and fuzzy PID control, this paper first builds a permanent magnet synchronous motor vector control model in Simulink, and validates the model by observing the electromagnetic torque changes during the simulation process and performing forward and reverse speed regulation. Then the fuzzy controller is designed to replace the traditional PID controller, and through simulation comparison, it is concluded that the model based on fuzzy PID has superior control performance and can solve the problem of real-time control extremely well.

Original languageEnglish
Title of host publicationAdvanced Intelligent Technologies for Information and Communication - Proceedings of 3 International Conference on Advanced Intelligent Technologies ICAIT 2022
EditorsKazumi Nakamatsu, Roumen Kountchev, Srikanta Patnaik, Jair M. Abe
PublisherSpringer Science and Business Media Deutschland GmbH
Pages379-393
Number of pages15
ISBN (Print)9789819952021
DOIs
Publication statusPublished - 2023
Event3rd International Conference on Advanced Intelligent Technologies, ICAIT 2022 - Virtual, Online
Duration: 29 Dec 202231 Dec 2022

Publication series

NameSmart Innovation, Systems and Technologies
Volume365
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference3rd International Conference on Advanced Intelligent Technologies, ICAIT 2022
CityVirtual, Online
Period29/12/2231/12/22

Keywords

  • Fuzzy PID control
  • Permanent magnet synchronous motor
  • Simulation
  • Vector control

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