Discrete flux weakening controller design for future aircraft electric starter/generator system operating in high-speed range

Ahmed M. Diab, Seang Shen Yeoh, Serhiy Bozhko, Feng Guo, Chris Gerada, Michael Galea

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

1 Citation (Scopus)

Abstract

This paper aims to develop an analytical design approach of discrete flux weakening (FW) controller that is implemented for high-speed starter/generator systems. The FW control plant has also been derived for small signal analysis while taking into account realistic signal delay effects. Accordingly, a proposed discrete FW controller has been presented. A generalized methodology to select the controller's gains has been developed in order to guarantee the stability and dynamic performance throughout the whole operating conditions in starter and generator modes. Simulations have been carried out in order to validate the analytical findings and to validate the proposed design.

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.
Pages169-174
Number of pages6
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

  • Digital control
  • Flux weakening control
  • More electric aircraft
  • Starter/generator system

ASJC Scopus subject areas

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

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