Detail publikace

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

LOLOVÁ, I.

Originální název

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

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

LOLOVÁ, I.

Vydáno

25. 4. 2023

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno

ISBN

ISBN 978-80-214-6153

Kniha

Proceedings I of the 29th Conference STUDENT EEICT 2023

Edice

1st Edition

Strany od

307

Strany do

311

Strany počet

474

URL

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"
}