Deadbeat Control of Permanent Magnet Synchronous Motor Based on MRAS Parameter Identification

Haiyi Fang, Xiaoli Duan, Yang Yang, Yiyan Wang, Guangzhao Luo

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

12 Scopus citations

Abstract

The deadbeat control is an effective way to promote the drive performance of permanent magnet synchronous machine (PMSM). However, the problems of time-varying electromagnetic parameters seriously affected the control accuracy of the model-based deadbeat controller. Therefore, an improved deadbeat current control method is proposed in this paper. In this method, we identify the motor parameters online through the model reference adaptive system (MRAS) and use the recognition results to modify the stator inductance and flux linkage of the deadbeat current control model. Simulation and experimental results demonstrate that the improved deadbeat control method has strongly robust to the variations of parameters, and it is testified to have better speed and current tracking performance.

Original languageEnglish
Title of host publication23rd International Conference on Electrical Machines and Systems, ICEMS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages161-166
Number of pages6
ISBN (Electronic)9784886864192
DOIs
StatePublished - 24 Nov 2020
Event23rd International Conference on Electrical Machines and Systems, ICEMS 2020 - Hamamatsu, Japan
Duration: 24 Nov 202027 Nov 2020

Publication series

Name23rd International Conference on Electrical Machines and Systems, ICEMS 2020

Conference

Conference23rd International Conference on Electrical Machines and Systems, ICEMS 2020
Country/TerritoryJapan
CityHamamatsu
Period24/11/2027/11/20

Keywords

  • deadbeat current control
  • model reference adaptive system
  • parameter identification
  • permanent magnet synchronous machine

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