Publication detail

Topology Optimization of Line-Start Synchronous Reluctance Machine with Fully Filled Flux Barriers

LOLOVÁ, I.

Original Title

Topology Optimization of Line-Start Synchronous Reluctance Machine with Fully Filled Flux Barriers

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

This paper deals with topology optimization based on the normalized Gaussian network of line-start synchronous reluctance machines. The paper aims to discuss the results of performed topology optimization in detail. The individuals are compared from the point of quality (efficiency, power factor and torque ripple). Thus, several feasible geometries of the line-start synchronous reluctance machines with the ability to synchronize are offered and compared. Then the paper offers quantitative processing of geometries to define the probable distribution of iron and aluminum in the rotor to obtain a motor with synchronization capability. The main contribution of this paper is defining the possible geometries of line-start synchronous reluctance machine with fully filled barriers that can reach synchronism. These geometries are based on TO and this paper offers a detailed comparison of them.

Keywords

AC motors, evaluation process, line-start synchronous reluctance motor, normalized Gaussian function optimization, topology optimization

Authors

LOLOVÁ, I.

Released

25. 4. 2023

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

ISBN 978-80-214-6153

Book

Proceedings I of the 29th Conference STUDENT EEICT 2023

Edition

1st Edition

Pages from

307

Pages to

311

Pages count

474

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_1.pdf

BibTex

@inproceedings{BUT184682,
  author="Iveta {Lolová}",
  title="Topology Optimization of Line-Start Synchronous Reluctance Machine with Fully Filled Flux Barriers",
  booktitle="Proceedings I of the 29th Conference STUDENT EEICT 2023",
  year="2023",
  series="1st Edition",
  pages="307--311",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="ISBN 978-80-214-6153",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_1.pdf"
}