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

Department of Electrical Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

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.

Original language	English
Title of host publication	2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728143460
DOIs	https://doi.org/10.1109/SIELA49118.2020.9167068
Publication status	Published - Jun 2020
Event	21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Bourgas, Bulgaria Duration: 3 Jun 2020 → 6 Jun 2020

Publication series

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

Conference

Conference	21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020
Country/Territory	Bulgaria
City	Bourgas
Period	3/06/20 → 6/06/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Efficiency
Finite Element Method
Particle Swarm Optimization
Permanent Magnet Synchronous Motor

Access to Document

10.1109/SIELA49118.2020.9167068

Cite this

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 Article 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

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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",

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

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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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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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

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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