Particle swarm optimization implementation on PMSM design

O. C. Soygenc, L. T. Ergene

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

4 Citations (Scopus)

Abstract

Nowadays most of design changes in electrical machines are made by applying many different design algorithms to reach the best operating point. In this paper particle swarm optimization (PSO) is used for optimization of a permanent magnet synchronous motor (PMSM). Finite element method (FEM) is preferred for the numerical solution to validate the optimization results. The numerical results of the reference motor and optimized motor are compared in terms of the efficiency and other performance indicators. The improvements are achieved for the optimized motor with the same motor requirements.

Original languageEnglish
Title of host publication2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728143460
DOIs
Publication statusPublished - Jun 2020
Event21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Bourgas, Bulgaria
Duration: 3 Jun 20206 Jun 2020

Publication series

Name2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings

Conference

Conference21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020
Country/TerritoryBulgaria
CityBourgas
Period3/06/206/06/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • Efficiency
  • Finite Element Method
  • Particle Swarm Optimization
  • Permanent Magnet Synchronous Motor

Fingerprint

Dive into the research topics of 'Particle swarm optimization implementation on PMSM design'. Together they form a unique fingerprint.

Cite this