Particle swarm optimization implementation on PMSM design

O. C. Soygenc; L. T. Ergene

doi:10.1109/SIELA49118.2020.9167068

Particle swarm optimization implementation on PMSM design

O. C. Soygenc
, L. T. Ergene

Elektrik Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

7 Atıf (Scopus)

Özet

Nowadays most of design changes in electrical machines are made by applying many different design algorithms to reach the best operating point. In this paper particle swarm optimization (PSO) is used for optimization of a permanent magnet synchronous motor (PMSM). Finite element method (FEM) is preferred for the numerical solution to validate the optimization results. The numerical results of the reference motor and optimized motor are compared in terms of the efficiency and other performance indicators. The improvements are achieved for the optimized motor with the same motor requirements.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781728143460
DOI'lar	https://doi.org/10.1109/SIELA49118.2020.9167068
Yayın durumu	Yayınlandı - Haz 2020
Etkinlik	21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Bourgas, Bulgaria Süre: 3 Haz 2020 → 6 Haz 2020

Yayın serisi

Adı	2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings

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???event.eventtypes.event.conference???	21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020
Ülke/Bölge	Bulgaria
Şehir	Bourgas
Periyot	3/06/20 → 6/06/20

Bibliyografik not

Publisher Copyright:
© 2020 IEEE.

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 7 Erişilebilir ve Temiz Enerji

Belgeye Erişim

10.1109/SIELA49118.2020.9167068

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Soygenc, O. C., & Ergene, L. T. (2020). Particle swarm optimization implementation on PMSM design. In 2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings Makale 9167068 (2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIELA49118.2020.9167068

@inproceedings{540b425462984818b56a2b9d6b9e2703,

title = "Particle swarm optimization implementation on PMSM design",

abstract = "Nowadays most of design changes in electrical machines are made by applying many different design algorithms to reach the best operating point. In this paper particle swarm optimization (PSO) is used for optimization of a permanent magnet synchronous motor (PMSM). Finite element method (FEM) is preferred for the numerical solution to validate the optimization results. The numerical results of the reference motor and optimized motor are compared in terms of the efficiency and other performance indicators. The improvements are achieved for the optimized motor with the same motor requirements.",

keywords = "Efficiency, Finite Element Method, Particle Swarm Optimization, Permanent Magnet Synchronous Motor",

author = "Soygenc, \{O. C.\} and Ergene, \{L. T.\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 ; Conference date: 03-06-2020 Through 06-06-2020",

year = "2020",

month = jun,

doi = "10.1109/SIELA49118.2020.9167068",

language = "English",

series = "2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings",

address = "United States",

}

Soygenc, OC & Ergene, LT 2020, Particle swarm optimization implementation on PMSM design. in 2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings., 9167068, 2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020, Bourgas, Bulgaria, 3/06/20. https://doi.org/10.1109/SIELA49118.2020.9167068

Particle swarm optimization implementation on PMSM design. / Soygenc, O. C.; Ergene, L. T.
2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9167068 (2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Particle swarm optimization implementation on PMSM design

AU - Soygenc, O. C.

AU - Ergene, L. T.

PY - 2020/6

Y1 - 2020/6

N2 - Nowadays most of design changes in electrical machines are made by applying many different design algorithms to reach the best operating point. In this paper particle swarm optimization (PSO) is used for optimization of a permanent magnet synchronous motor (PMSM). Finite element method (FEM) is preferred for the numerical solution to validate the optimization results. The numerical results of the reference motor and optimized motor are compared in terms of the efficiency and other performance indicators. The improvements are achieved for the optimized motor with the same motor requirements.

AB - Nowadays most of design changes in electrical machines are made by applying many different design algorithms to reach the best operating point. In this paper particle swarm optimization (PSO) is used for optimization of a permanent magnet synchronous motor (PMSM). Finite element method (FEM) is preferred for the numerical solution to validate the optimization results. The numerical results of the reference motor and optimized motor are compared in terms of the efficiency and other performance indicators. The improvements are achieved for the optimized motor with the same motor requirements.

KW - Efficiency

KW - Finite Element Method

KW - Particle Swarm Optimization

KW - Permanent Magnet Synchronous Motor

UR - https://www.scopus.com/pages/publications/85091334811

U2 - 10.1109/SIELA49118.2020.9167068

DO - 10.1109/SIELA49118.2020.9167068

M3 - Conference contribution

AN - SCOPUS:85091334811

T3 - 2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings

BT - 2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020

Y2 - 3 June 2020 through 6 June 2020

ER -

Soygenc OC, Ergene LT. Particle swarm optimization implementation on PMSM design. In 2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9167068. (2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings). doi: 10.1109/SIELA49118.2020.9167068

Particle swarm optimization implementation on PMSM design

Özet

Yayın serisi

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Bibliyografik not

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

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