Grid computing and surrogate objective function assisted multi-objective shape optimal design of PMLSM

Minho Song; Heesung Yoon; Hong Soon Choi; Chang Seop Koh

doi:10.1109/CEFC.2010.5481041

Grid computing and surrogate objective function assisted multi-objective shape optimal design of PMLSM

Minho Song, Heesung Yoon, Hong Soon Choi, Chang Seop Koh

Department of Electrical Engineering

Chungbuk National University

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

Abstract

A permanent magnet linear synchronous motor (PMLSM) is shape optimized in Pareto sense to get a minimum detent force and maximum thrust force per mass. In the optimization, a surrogate objective function is constructed with the help of grid computing technique by using Multi-quadric radial basis function to reduce the computing time related with finite element analysis.

Original language	English
Title of host publication	Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010
DOIs	https://doi.org/10.1109/CEFC.2010.5481041
State	Published - 2010
Event	14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010 - Chicago, IL, United States Duration: 9 May 2010 → 12 May 2010

Publication series

Name	Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010

Conference

Conference	14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010
Country/Territory	United States
City	Chicago, IL
Period	9/05/10 → 12/05/10

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10.1109/CEFC.2010.5481041

Cite this

Song, M., Yoon, H., Choi, H. S., & Koh, C. S. (2010). Grid computing and surrogate objective function assisted multi-objective shape optimal design of PMLSM. In Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010 Article 5481041 (Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010). https://doi.org/10.1109/CEFC.2010.5481041

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title = "Grid computing and surrogate objective function assisted multi-objective shape optimal design of PMLSM",

abstract = "A permanent magnet linear synchronous motor (PMLSM) is shape optimized in Pareto sense to get a minimum detent force and maximum thrust force per mass. In the optimization, a surrogate objective function is constructed with the help of grid computing technique by using Multi-quadric radial basis function to reduce the computing time related with finite element analysis.",

author = "Minho Song and Heesung Yoon and Choi, {Hong Soon} and Koh, {Chang Seop}",

year = "2010",

doi = "10.1109/CEFC.2010.5481041",

language = "English",

isbn = "9781424470594",

series = "Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010",

booktitle = "Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010",

note = "14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010 ; Conference date: 09-05-2010 Through 12-05-2010",

}

Song, M, Yoon, H, Choi, HS & Koh, CS 2010, Grid computing and surrogate objective function assisted multi-objective shape optimal design of PMLSM. in Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010., 5481041, Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010, 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010, Chicago, IL, United States, 9/05/10. https://doi.org/10.1109/CEFC.2010.5481041

Grid computing and surrogate objective function assisted multi-objective shape optimal design of PMLSM. / Song, Minho; Yoon, Heesung; Choi, Hong Soon et al.
Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010. 2010. 5481041 (Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010).

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

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AB - A permanent magnet linear synchronous motor (PMLSM) is shape optimized in Pareto sense to get a minimum detent force and maximum thrust force per mass. In the optimization, a surrogate objective function is constructed with the help of grid computing technique by using Multi-quadric radial basis function to reduce the computing time related with finite element analysis.

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Song M, Yoon H, Choi HS, Koh CS. Grid computing and surrogate objective function assisted multi-objective shape optimal design of PMLSM. In Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010. 2010. 5481041. (Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010). doi: 10.1109/CEFC.2010.5481041

Grid computing and surrogate objective function assisted multi-objective shape optimal design of PMLSM

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