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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
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
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" }