Publication detail

Electromagnetic analysis of line-start synchronous reluctance machines optimized by means of topology optimization

LOLOVÁ, I.

Original Title

Electromagnetic analysis of line-start synchronous reluctance machines optimized by means of topology optimization

Type

conference paper

Language

English

Original Abstract

This paper deals with the electromagnetic analysis of a line-start synchronous reluctance motor optimized by means of topology optimization based on the normalized Gaussian network. Topology optimization using the normalized Gaussian network represents the novel approach for electrical machines improvements. This article evaluates this approach as promising due to the electromagnetic analysis results of selected individual of the Pareto front. The main contribution of this article is a comprehensive electromagnetic analysis of line-start synchronous reluctance machine optimized by the above mention method.

Keywords

Ansys Maxwell, electromagnetic analysis, FEM, line-start synchronous reluctance motor, the normalized Gaussian network, topology optimization, transient analysis

Authors

LOLOVÁ, I.

Released

27. 4. 2021

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-5943-4

Book

Proceedings II of the 27th Conference STUDENT EEICT 2021 selected papers

Edition

1

Pages from

245

Pages to

249

Pages count

5

URL

https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_2.pdf

BibTex

@inproceedings{BUT172219,
  author="Iveta {Lolová}",
  title="Electromagnetic analysis of line-start synchronous reluctance machines optimized by means of topology optimization",
  booktitle="Proceedings II of the 27th Conference STUDENT EEICT 2021 selected papers",
  year="2021",
  series="1",
  pages="245--249",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  doi="10.13164/eeict.2021.245",
  isbn="978-80-214-5943-4",
  url="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_2.pdf"
}