Publication detail

OPTIMIZATION OF INTERIOR PERMANENT MAGNET SYNCHRONOUS MOTOR USING EVOLUTIONARY OPTIMIZATION ALGORITHM

Knebl L.

Original Title

OPTIMIZATION OF INTERIOR PERMANENT MAGNET SYNCHRONOUS MOTOR USING EVOLUTIONARY OPTIMIZATION ALGORITHM

Type

conference paper

Language

English

Original Abstract

The development of the interior permanent magnet synchronous motor has drawn a big interest over the last decade. This is due to the use of this kind of machine in the automotive industry, thanks to the machine high efficiency and high overload capability compare to other machine types. Using artificial intelligence or evolutionary optimization algorithms is possible to optimize the motor with maximum efficiency, lowest torque ripple and highest average torque, because a huge ammount and variety of geometry combinations are tested. This paper is focused on the overview of generally used optimization algorithms and optimization is demonstrated on Self-Organizing Migrating Algorithm (SOMA). Cost function and weight coefficients are also presented and used for optimization.

Keywords

Maxwell, SOMA, Optimization, evolutionary optimization algorithm, Finite element analysis, Interior permanent magnet

Authors

Knebl L.

Released

25. 4. 2019

Publisher

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Location

Brno

ISBN

978-80-214-5735-5

Book

Proceedings of the 25th Conference STUDENT EEICT 2019

Edition number

První

Pages from

664

Pages to

668

Pages count

768

URL

http://www.feec.vutbr.cz/conf/EEICT/archiv/sborniky/EEICT_2019_sbornik.pdf

BibTex

@inproceedings{BUT156810,
  author="Ladislav {Knebl}",
  title="OPTIMIZATION OF INTERIOR PERMANENT MAGNET SYNCHRONOUS MOTOR USING EVOLUTIONARY OPTIMIZATION ALGORITHM",
  booktitle="Proceedings of the 25th Conference STUDENT EEICT 2019",
  year="2019",
  number="První",
  pages="664--668",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  address="Brno",
  isbn="978-80-214-5735-5",
  url="http://www.feec.vutbr.cz/conf/EEICT/archiv/sborniky/EEICT_2019_sbornik.pdf"
}