Detail publikace

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

LOLOVÁ, I.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

LOLOVÁ, I.

Vydáno

27. 4. 2021

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno

ISBN

978-80-214-5943-4

Kniha

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

Edice

1

Strany od

245

Strany do

249

Strany počet

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"
}