A review of recent developments in electrical machine design optimization methods with a permanent magnet synchronous motor benchmark study

Yao Duan; Dan M. Ionel

doi:10.1109/ECCE.2011.6064270

A review of recent developments in electrical machine design optimization methods with a permanent magnet synchronous motor benchmark study

Yao Duan
, Dan M. Ionel

Producción científica: Conference contribution › revisión exhaustiva

32 Citas (Scopus)

Resumen

The paper systematically covers the significant developments of the last decade, including surrogate modelling of electrical machines, direct and stochastic search algorithms for both single- and multi- objective design optimization problems. The specific challenges and the dedicated algorithms for electric machine design are discussed, followed by benchmark studies comparing Response Surface (RS) and Differential Evolutionary (DE) algorithms on a permanent magnet synchronous motor (PMSM) design with 5 independent variables and a strong non-linear multi-objective Pareto front and on a function with 11 independent variables. The results show that RS and DE are comparable when the optimization employs only a small number of design candidates and DE performs better when more candidates are included.

Idioma original	English
Título de la publicación alojada	IEEE Energy Conversion Congress and Exposition
Subtítulo de la publicación alojada	Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings
Páginas	3694-3701
Número de páginas	8
DOI	https://doi.org/10.1109/ECCE.2011.6064270
Estado	Published - 2011
Evento	3rd Annual IEEE Energy Conversion Congress and Exposition, ECCE 2011 - Phoenix, AZ, United States Duración: sept 17 2011 → sept 22 2011

Serie de la publicación

Nombre	IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings

Conference

Conference	3rd Annual IEEE Energy Conversion Congress and Exposition, ECCE 2011
País/Territorio	United States
Ciudad	Phoenix, AZ
Período	9/17/11 → 9/22/11

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Affordable and clean energy

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment

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10.1109/ECCE.2011.6064270

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Duan, Y., & Ionel, D. M. (2011). A review of recent developments in electrical machine design optimization methods with a permanent magnet synchronous motor benchmark study. En IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings (pp. 3694-3701). Artículo 6064270 (IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings). https://doi.org/10.1109/ECCE.2011.6064270

Duan, Yao ; Ionel, Dan M. / A review of recent developments in electrical machine design optimization methods with a permanent magnet synchronous motor benchmark study. IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings. 2011. pp. 3694-3701 (IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings).

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title = "A review of recent developments in electrical machine design optimization methods with a permanent magnet synchronous motor benchmark study",

abstract = "The paper systematically covers the significant developments of the last decade, including surrogate modelling of electrical machines, direct and stochastic search algorithms for both single- and multi- objective design optimization problems. The specific challenges and the dedicated algorithms for electric machine design are discussed, followed by benchmark studies comparing Response Surface (RS) and Differential Evolutionary (DE) algorithms on a permanent magnet synchronous motor (PMSM) design with 5 independent variables and a strong non-linear multi-objective Pareto front and on a function with 11 independent variables. The results show that RS and DE are comparable when the optimization employs only a small number of design candidates and DE performs better when more candidates are included.",

keywords = "AC synchronous machine, Brushless (BL) permanent-magnet (PM) motor, design methodology, differential evolution, optimization, response surface",

author = "Yao Duan and Ionel, \{Dan M.\}",

year = "2011",

doi = "10.1109/ECCE.2011.6064270",

language = "English",

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series = "IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings",

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note = "3rd Annual IEEE Energy Conversion Congress and Exposition, ECCE 2011 ; Conference date: 17-09-2011 Through 22-09-2011",

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Duan, Y & Ionel, DM 2011, A review of recent developments in electrical machine design optimization methods with a permanent magnet synchronous motor benchmark study. En IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings., 6064270, IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings, pp. 3694-3701, 3rd Annual IEEE Energy Conversion Congress and Exposition, ECCE 2011, Phoenix, AZ, United States, 9/17/11. https://doi.org/10.1109/ECCE.2011.6064270

A review of recent developments in electrical machine design optimization methods with a permanent magnet synchronous motor benchmark study. / Duan, Yao; Ionel, Dan M.
IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings. 2011. p. 3694-3701 6064270 (IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings).

Producción científica: Conference contribution › revisión exhaustiva

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AU - Duan, Yao

AU - Ionel, Dan M.

PY - 2011

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N2 - The paper systematically covers the significant developments of the last decade, including surrogate modelling of electrical machines, direct and stochastic search algorithms for both single- and multi- objective design optimization problems. The specific challenges and the dedicated algorithms for electric machine design are discussed, followed by benchmark studies comparing Response Surface (RS) and Differential Evolutionary (DE) algorithms on a permanent magnet synchronous motor (PMSM) design with 5 independent variables and a strong non-linear multi-objective Pareto front and on a function with 11 independent variables. The results show that RS and DE are comparable when the optimization employs only a small number of design candidates and DE performs better when more candidates are included.

AB - The paper systematically covers the significant developments of the last decade, including surrogate modelling of electrical machines, direct and stochastic search algorithms for both single- and multi- objective design optimization problems. The specific challenges and the dedicated algorithms for electric machine design are discussed, followed by benchmark studies comparing Response Surface (RS) and Differential Evolutionary (DE) algorithms on a permanent magnet synchronous motor (PMSM) design with 5 independent variables and a strong non-linear multi-objective Pareto front and on a function with 11 independent variables. The results show that RS and DE are comparable when the optimization employs only a small number of design candidates and DE performs better when more candidates are included.

KW - AC synchronous machine

KW - Brushless (BL) permanent-magnet (PM) motor

KW - design methodology

KW - differential evolution

KW - optimization

KW - response surface

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Duan Y, Ionel DM. A review of recent developments in electrical machine design optimization methods with a permanent magnet synchronous motor benchmark study. En IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings. 2011. p. 3694-3701. 6064270. (IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings). doi: 10.1109/ECCE.2011.6064270

A review of recent developments in electrical machine design optimization methods with a permanent magnet synchronous motor benchmark study

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