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Selected Nature-Inspired Algorithms in Function of PM Synchronous Motor Cogging Torque Minimisation Cover

Selected Nature-Inspired Algorithms in Function of PM Synchronous Motor Cogging Torque Minimisation

Power Electronics and Drives
Volume 6 (2021): Issue 1 (January 2021)
By:  and    
Open Access
|Nov 2021
Authors

Authors

Goga Vladimir Cvetkovski

gogacvet@feit.ukim.edu.mk

Ss.Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies, Skopje

Lidija Petkovska

lidijap@feit.ukim.edu.mk

Ss.Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies, Skopje
DOI: https://doi.org/10.2478/pead-2021-0012 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262
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Language: English
Page range: 204 - 217
Submitted on: Aug 1, 2021
Accepted on: Sep 21, 2021
Published on: Nov 15, 2021
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
permanent magnet synchronous motor,
optimisation methods,
cogging torque,
genetic algorithm,
finite element method
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Electronics

© 2021 Goga Vladimir Cvetkovski, Lidija Petkovska, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 6 (2021): Issue 1 (January 2021)
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