An Improved Control Strategy of PM-Assisted Synchronous Reluctance Machines Based on an Extended State Observer

Dongyang Li, Chunyang Gu, Shuo Wang, Alan Zhang, Christopher Gerada, Robert Camilleri, Yue Zhang

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

Abstract

PM-Assisted synchronous reluctance machines (PMSynRM) show large speed fluctuations and poor dynamic response when encountering a large disturbance. Additionally, the PI controller is not capable of eliminating steady-state errors when disturbances are encountered. An extended state observer (ESO) based control method is proposed in this paper to resolve these problems. Thanks to the proposed control strategy, the ESO can detect and provide feedback to the controller in a short period of time, which allows it to respond in a timely manner. Speed Control accuracy is increased, and response time is reduced simultaneously as a result. Meanwhile, stability analysis is implemented to determine the stability condition of the observer, so that optimized observer parameters could be obtained. The ESO-based control strategy is effective at reducing dynamic response time and increasing control accuracy, according to simulations.

Original languageEnglish
Title of host publication2022 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665492065
DOIs
Publication statusPublished - 2022
Event2022 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2022 - Haining, China
Duration: 28 Oct 202231 Oct 2022

Publication series

Name2022 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2022

Conference

Conference2022 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2022
Country/TerritoryChina
CityHaining
Period28/10/2231/10/22

Keywords

  • extended state observer
  • PM-assisted synchronous reluctance machines

ASJC Scopus subject areas

  • Mechanical Engineering
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Transportation

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