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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.9 No.5
- 발행연도
- 2014.9
- 수록면
- 1,544 - 1,550 (7page)
이용수
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초록· 키워드
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In this paper, an adaptive optimization strategy utilizing Kriging model and genetic algorithm is proposed for the optimal design of electromagnetic devices. The ordinary Kriging assisted by the spherical covariance model is used to construct surrogate models. In order to improve the computational efficiency, the adaptive uniform sampling strategy is applied to generate sampling points in design space. Through several iterations and gradual refinement process, the global optimal point can be found by genetic algorithm. The proposed algorithm is validated by application to the optimal design of a switched reluctance motor, where the stator pole face and shape of pole shoe attached to the lateral face of the rotor pole are optimized to reduce the torque ripple.
목차
Abstract
1. Introduction
2. Kriging Methodology
3. Gradual Refinement Assisted Global Optimization Algorithm
4. Numerical Optimization Results
5. Conclusion
References
참고문헌 (11)
참고문헌 신청
1. [학술지(정기간행물)] - A. I. J. Forrester / 2009 / Recent advances in surrogate-based optimization / Progress in Aerospace Sciences 45 (1) : 50 ~ 79
2. [학술지(정기간행물)] - Yanli Zhang / 2008 / A Robust and Computationally Efficient Optimal Design Algorithm of Electromagnetic Devices using Adaptive Response Surface Method / Journal of Electrical Engineering & Technology 3 (2) : 207 ~ 212
3. [학술지(정기간행물)] - J. J. M. Rijpkema / 2001 / Using of design sensitivity information in response surface and Kriging metamodels / Optimization and Engineering 2 : 469 ~ 484
4. [학위논문] - H. P. Liu / 2009 / Taylor Kriging for simulation metamodeling / 박사 / Auburn University
5. [학술지(정기간행물)] - L. Wang / 2006 / Selection of approximation models for electromagnetic device optimization / IEEE Trans. Magn 42 (4) : 1227 ~ 1230
2. [학술지(정기간행물)] - Yanli Zhang / 2008 / A Robust and Computationally Efficient Optimal Design Algorithm of Electromagnetic Devices using Adaptive Response Surface Method / Journal of Electrical Engineering & Technology 3 (2) : 207 ~ 212
3. [학술지(정기간행물)] - J. J. M. Rijpkema / 2001 / Using of design sensitivity information in response surface and Kriging metamodels / Optimization and Engineering 2 : 469 ~ 484
4. [학위논문] - H. P. Liu / 2009 / Taylor Kriging for simulation metamodeling / 박사 / Auburn University
5. [학술지(정기간행물)] - L. Wang / 2006 / Selection of approximation models for electromagnetic device optimization / IEEE Trans. Magn 42 (4) : 1227 ~ 1230
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