Modeling of Rotor Flux Barriers in a Brushless Doubly-Fed Reluctance Machine

Shivang Agrawal, Hadi Chouhdry, Arijit Banerjee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A brushless doubly-fed reluctance machine requires partially-rated power converter, reduced maintenance, and operates without permanent magnets making it an attractive option for many applications such electrified propulsion and wind energy conversion system. However, BDFRMs have inherently poor torque density and high torque ripple. Since the flux modulation in a BDFRM is carried out by the rotor, the rotor structure plays an important role in torque production. This paper propose an analytical approach to model the effect of the rotor flux barriers on the mean and ripple torque. The method shows that the instantaneous torque is highly sensitive to the location of these flux-barriers. A rotor with two flux barriers per pole is used to illustrate the effectiveness of the proposed approach. Finally, the proposed modeling framework is used to optimize the rotor geometry to achieve a maximize mean torque with lower ripple. The estimated torque profile for the optimized rotor is verified using finite element analysis (FEA) of the machine.

Original languageEnglish (US)
Title of host publication2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4067-4074
Number of pages8
ISBN (Electronic)9781728151359
DOIs
StatePublished - 2021
Externally publishedYes
Event13th IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Virtual, Online, Canada
Duration: Oct 10 2021Oct 14 2021

Publication series

Name2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings

Conference

Conference13th IEEE Energy Conversion Congress and Exposition, ECCE 2021
Country/TerritoryCanada
CityVirtual, Online
Period10/10/2110/14/21

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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