Skip to main navigation Skip to search Skip to main content

An Offline Iterative Torque Optimization for Extended-Speed Control of Switched Reluctance Motor Drives

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

Abstract

This paper proposed an optimization algorithm for torque sharing function (TSF) based on numerical iterative algorithm for switched reluctance motor (SRM). This optimization problem takes minimum rms voltage as the minimum optimization objective, current-limiting and bus voltage as the constraint. It gets free from a particular fitting function, making it has advantages of wide universality. Detailed design process of algorithm is illustrated in the paper. The results show that current-limiting is the main constraint at low speed. While at medium and high speeds, bus Voltage is the main limiting factor. The optimized TSF is applied to a 6/4 SRM. Simulations and experiment have been carried out to verify the effectiveness a of the proposed algorithm.

Original languageEnglish
Title of host publication2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728133980
DOIs
StatePublished - Aug 2019
Externally publishedYes
Event22nd International Conference on Electrical Machines and Systems, ICEMS 2019 - Harbin, China
Duration: 11 Aug 201914 Aug 2019

Publication series

Name2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

Conference

Conference22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Country/TerritoryChina
CityHarbin
Period11/08/1914/08/19

Keywords

  • Extended-Speed Torque
  • Iterative Optimization
  • Switched reluctance motor
  • Torque sharing function

Fingerprint

Dive into the research topics of 'An Offline Iterative Torque Optimization for Extended-Speed Control of Switched Reluctance Motor Drives'. Together they form a unique fingerprint.

Cite this