Variable mesh adaptive direct search algorithm applied for optimal design of electric machines based on fea

Dongsu Lee; Jong Wook Kim; Cheol Gyun Lee; Sang Yong Jung

doi:10.1109/TMAG.2011.2152380

Variable mesh adaptive direct search algorithm applied for optimal design of electric machines based on fea

Dongsu Lee, Jong Wook Kim, Cheol Gyun Lee, Sang Yong Jung

Department of Electronic and Electrical Engineering

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

Optimal design of electric machine based on finite element analysis (FEA) is characterized with the nonlinear magnetic saturation, which causes the much longer computation time for maintaining the high accuracy. In order to compensate the excessive computation time due to FEA and guarantee the reliable convergence to global optimum, variable mesh adaptive direct search (VMADS) is newly implemented with multi-start in this paper. Effectiveness of VMADS has been verified through a benchmark function. In particular, the proposed algorithm has been employed to optimal design of interior permanent magnet synchronous machine (IPMSM) for maximum torque per ampere (MTPA), of which design objective should be evaluated by FEA for better accuracy.

Original language	English
Article number	6027687
Pages (from-to)	3232-3235
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	47
Issue number	10
DOIs	https://doi.org/10.1109/TMAG.2011.2152380
State	Published - Oct 2011

Keywords

Finite element analysis (FEA)
interior PM synchronous machine (IPMSM)
maximum torque per ampere (MTPA)
optimal design
variable mesh adaptive direct search algorithm (VMADS)

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10.1109/TMAG.2011.2152380

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title = "Variable mesh adaptive direct search algorithm applied for optimal design of electric machines based on fea",

abstract = "Optimal design of electric machine based on finite element analysis (FEA) is characterized with the nonlinear magnetic saturation, which causes the much longer computation time for maintaining the high accuracy. In order to compensate the excessive computation time due to FEA and guarantee the reliable convergence to global optimum, variable mesh adaptive direct search (VMADS) is newly implemented with multi-start in this paper. Effectiveness of VMADS has been verified through a benchmark function. In particular, the proposed algorithm has been employed to optimal design of interior permanent magnet synchronous machine (IPMSM) for maximum torque per ampere (MTPA), of which design objective should be evaluated by FEA for better accuracy.",

keywords = "Finite element analysis (FEA), interior PM synchronous machine (IPMSM), maximum torque per ampere (MTPA), optimal design, variable mesh adaptive direct search algorithm (VMADS)",

author = "Dongsu Lee and Kim, \{Jong Wook\} and Lee, \{Cheol Gyun\} and Jung, \{Sang Yong\}",

year = "2011",

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doi = "10.1109/TMAG.2011.2152380",

language = "English",

volume = "47",

pages = "3232--3235",

journal = "IEEE Transactions on Magnetics",

issn = "0018-9464",

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

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AU - Lee, Dongsu

AU - Kim, Jong Wook

AU - Lee, Cheol Gyun

AU - Jung, Sang Yong

PY - 2011/10

Y1 - 2011/10

N2 - Optimal design of electric machine based on finite element analysis (FEA) is characterized with the nonlinear magnetic saturation, which causes the much longer computation time for maintaining the high accuracy. In order to compensate the excessive computation time due to FEA and guarantee the reliable convergence to global optimum, variable mesh adaptive direct search (VMADS) is newly implemented with multi-start in this paper. Effectiveness of VMADS has been verified through a benchmark function. In particular, the proposed algorithm has been employed to optimal design of interior permanent magnet synchronous machine (IPMSM) for maximum torque per ampere (MTPA), of which design objective should be evaluated by FEA for better accuracy.

AB - Optimal design of electric machine based on finite element analysis (FEA) is characterized with the nonlinear magnetic saturation, which causes the much longer computation time for maintaining the high accuracy. In order to compensate the excessive computation time due to FEA and guarantee the reliable convergence to global optimum, variable mesh adaptive direct search (VMADS) is newly implemented with multi-start in this paper. Effectiveness of VMADS has been verified through a benchmark function. In particular, the proposed algorithm has been employed to optimal design of interior permanent magnet synchronous machine (IPMSM) for maximum torque per ampere (MTPA), of which design objective should be evaluated by FEA for better accuracy.

KW - Finite element analysis (FEA)

KW - interior PM synchronous machine (IPMSM)

KW - maximum torque per ampere (MTPA)

KW - optimal design

KW - variable mesh adaptive direct search algorithm (VMADS)

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M3 - Article

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JO - IEEE Transactions on Magnetics

JF - IEEE Transactions on Magnetics

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ER -

Variable mesh adaptive direct search algorithm applied for optimal design of electric machines based on fea

Abstract

Keywords

UN SDGs

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