The hybrid algorithms in constrained optimization of the permanent magnet motors

Łukasz Knypiński; Ramesh Devarapalli; Frédéric Gillon

doi:10.1049/smt2.12185

Scientific Information System of the Poznań University of Technology

PL EN

Main page / Publications / The hybrid algorithms in constrained optimization of the permanent magnet motors

Submit a comment

Article

Download file Download BibTeX

Title

The hybrid algorithms in constrained optimization of the permanent magnet motors

Authors

Łukasz Knypiński (WARiE) ^{[ 1 ][ 2.2 ][ P ]}
Ramesh Devarapalli
Frédéric Gillon

^{[ 1 ]} Instytut Elektrotechniki i Elektroniki Przemysłowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics, electrical engineering and space technology

Year of publication

2024

Published in

IET Science, Measurement & Technology

Journal year: 2024 | Journal volume: in press | Journal number: in press

Article type

scientific article

Publication language

english

Abstract

EN Here, different hybrid optimization algorithms have been applied to the constrained opti-mization of the line-start permanent magnet synchronous motor. The optimal results forthe hybrid Cuckoo Search and hybrid Grey Wolf Optimization have been compared. Inthe primary objective function, the parameters describing motor functional parametersin the steady state have been included. Moreover, the non-linear constraint function hasbeen taken into account. The optimization procedures have been elaborated in the Delphiand Matlab environments. The mathematical model of the line-start permanent magnetmotor has been developed in the Maxwell environment. Selected optimization results arepresented and discussed.

Pages (from - to)

1 - 7

DOI

10.1049/smt2.12185

URL

https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12185

Open Access Mode

open journal

Open Access Text Version

final published version

Release date

19.03.2024