Impedance-based stability analysis of permanent magnet synchronous generator for the more electric aircraft

Jiajun Yang, Giampaolo Buticchi, Chunyang Gu, Pat Wheeler

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

9 Citations (Scopus)

Abstract

For a more electric aircraft (MEA), most hydraulic, pneumatic and mechanical subsystems are supposed to be replaced with electrical subsystems. These replacements result in a larger scale of on-board electrical power distribution system (EPDS). As the system structure is more complex, the system stability becomes a concern. In this paper, a new accurate output impedance model of permanent magnet synchronous generator (PMSG) is derived according to a more detailed transfer function block scheme, and the stability analysis of PMSG itself is carried out by checking the poles of output impedance model. Moreover, a conventional switching model is built in PLECS to validate the results predicted by the output impedance model.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages181-185
Number of pages5
ISBN (Electronic)9781728176154
DOIs
Publication statusPublished - 8 Apr 2021
Event2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021 - Virtual, Modena, Italy
Duration: 8 Apr 20219 Apr 2021

Publication series

NameProceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021

Conference

Conference2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021
Country/TerritoryItaly
CityVirtual, Modena
Period8/04/219/04/21

Keywords

  • Impedance model
  • More electric aircraft
  • Permanent magnet synchronous generator
  • Stability analysis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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