NDLI: Two-Stage Surrogate Model for Finite-Element-Based Optimization of Permanent-Magnet Synchronous Motor

Content Provider	IEEE Xplore Digital Library
Author	Giurgea, S. Zire, H.S. Miraoui, A.
Copyright Year	1965
Abstract	The use of finite-element-method (FEM) simulation in electrical machine optimal design is affected by two main problems: the computation time in FEM simulations and the large number of parameters of the electrical machine. Here, we propose a surrogate model to use with electrical machines, based on statistical multiple correlation coefficients (R2) analysis and moving least squares (MLS) approximation. In the context of an optimization process, which needs a large number of evaluations strongly depending on the number of parameters, the computation effort is small compared to the time that can be saved. We validate this method by applying it to the optimal design of a synchronous machine. The results show that the torque per weight ratio improved by about 13% in comparison with that obtained by classical optimization methods.
Sponsorship	IEEE Magnetics Society
Starting Page	3607
Ending Page	3613
Page Count	7
File Size	580644
File Format	PDF
ISSN	00189464
Volume Number	43
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Finite element methods Synchronous motors Computational modeling Least squares approximation Optimization methods Analytical models Numerical models Statistical analysis Multilevel systems Approximation methods surrogate model Moving least squares approximation optimization permanent-magnet synchronous motor
Content Type	Text
Resource Type	Article
Subject	Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering

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