Synchronous Reluctance Motor Iron Losses: Analytical Model and Optimization

Hanafy Mahmoud, Michele Degano, Giacomo Bacco, Nicola Bianchi, Chris Gerada

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

8 Citations (Scopus)

Abstract

The complex rotor structure of synchronous reluctance machines causes a high harmonic content in the air-gap flux density and then flux density fluctuations in different iron parts. The importance of determining accurately the total iron losses in the whole motor structure is crucial even during the first design stage. An analytical model is presented to predict the total iron losses as well as the average torque and ripple. Then, an optimization approach is applied to such a model to improve the motor performance. In addition, in several applications a field weakening is required to extend the speed range of the motors. Therefore, it is important to design and optimize the machine not only considering the base speed working point, but also the field weakening operation. An optimization process is applied to two different operating conditions, simultaneously, applying the fast analytical synthesis. The validation of the model accuracy is assessed by means of finite element analysis.

Original languageEnglish
Title of host publication2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1640-1647
Number of pages8
ISBN (Electronic)9781479973118
DOIs
Publication statusPublished - 3 Dec 2018
Event10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018 - Portland, United States
Duration: 23 Sept 201827 Sept 2018

Publication series

Name2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018

Conference

Conference10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018
Country/TerritoryUnited States
CityPortland
Period23/09/1827/09/18

Keywords

  • Analytical analysis
  • Finite element analysis
  • Optimization approach
  • Synchronous reluctance machine

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management

Fingerprint

Dive into the research topics of 'Synchronous Reluctance Motor Iron Losses: Analytical Model and Optimization'. Together they form a unique fingerprint.

Cite this