Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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A Novel Region Decision Method with Mesh Adaptive Direct Search Applied to Optimal FEA-Based Design of Interior PM Generator

  • Lee, Dongsu (School of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign) ;
  • Son, Byung Kwan (School of Electronic and Electrical Engineering, Sungkyunkwan University) ;
  • Kim, Jong-Wook (Dept. of Electronic Engineering, Dong-A University) ;
  • Jung, Sang-Yong (School of Electronic and Electrical Engineering, Sungkyunkwan University)
  • Received : 2017.07.25
  • Accepted : 2018.01.29
  • Published : 2018.07.01
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Abstract

Optimizing the design of large-scale electric machines based on nonlinear finite element analysis (FEA) requires longer computation time than other applications of FEA, mainly due to the huge size of the machines. This paper addresses a new region decision method (RDM) with mesh adaptive direct search (MADS) for the optimal design of wind generators in order to reduce the computation time. The validity of the proposed algorithm is evaluated using Rastrigin and Goldstein-Price benchmark function. Moreover, the algorithm is employed for the optimal design of a 5.6MW interior permanent magnet synchronous generator to minimize the torque ripple. Additionally, mechanical stress analysis as well as electromagnetic field analysis have been implemented to prevent breakdown caused by large centrifugal forces of the modified design.

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References

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