Journal of Magnetics

The Korean Magnetics Society (한국자기학회)
권호 표지
DOI QR코드

DOI QR Code

Optimization of a SMES Magnet in the Presence of Uncertainty Utilizing Sampling-based Reliability Analysis

  • Kim, Dong-Wook (Department of Electrical Engineering, Kyungpook National University) ;
  • Choi, Nak-Sun (Department of Electrical Engineering, Kyungpook National University) ;
  • Choi, K.K. (Department of Mechanical and Industrial Eng., University of Iowa) ;
  • Kim, Heung-Geun (Department of Electrical Engineering, Kyungpook National University) ;
  • Kim, Dong-Hun (Department of Electrical Engineering, Kyungpook National University)
  • Received : 2013.11.16
  • Accepted : 2014.02.25
  • Published : 2014.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

This paper proposes an efficient reliability-based optimization method for designing a superconducting magnetic energy system in presence of uncertainty. To evaluate the probability of failure of constraints, samplingbased reliability analysis method is employed, where Monte Carlo simulation is incorporated into dynamic Kriging models. Its main feature is to drastically reduce the numbers of iterative designs and computer simulations during the optimization process without sacrificing the accuracy of reliability analysis. Through comparison with existing methods, the validity of the proposed method is examined with the TEAM Workshop Problem 22.

Keywords

References

  1. G. Steiner, A. Weber, and C. Magele, IEEE Trans. Magn. 40, 1094 (2004). https://doi.org/10.1109/TMAG.2004.824556
  2. F. Guimaraes, D. Lowther, and J. Ramirez, IEEE Trans. Magn. 42, 1207 (2006). https://doi.org/10.1109/TMAG.2006.871573
  3. X. Liu, S. Wang, J. Qiu, J. G. Zhu, Y. Guo, and Z. W. Lin, IEEE Trans. Magn. 44, 978 (2008). https://doi.org/10.1109/TMAG.2007.916279
  4. N. Nishida, Y. Takahashi, and S. Wakao, IEEE Trans. Magn. 44, 998 (2008). https://doi.org/10.1109/TMAG.2007.915329
  5. G. Soares, R. Adriano, C. Maia, L. Jaulin, and J. Vasconcelos, IEEE Trans. Magn. 45, 1028 (2009). https://doi.org/10.1109/TMAG.2009.2012563
  6. N. Kim, D. Kim, H. Kim, D. Lowther, and J. Sykulski, IEEE Trans. Magn. 46, 3117 (2010). https://doi.org/10.1109/TMAG.2010.2043719
  7. A. Haldar and S. Mahadevan, Probability, reliability, and statistical methods in engineering design, John Wiley & Sons, New York: Chichester, UK (2000).
  8. B. Youn and K. Choi, AIAA Journal 42, 124 (2004). https://doi.org/10.2514/1.9036
  9. I. Lee and K. Choi, Struct. Multidisc. Optim. 44, 299 (2011). https://doi.org/10.1007/s00158-011-0659-2
  10. G. Jeung, D. Kim, Y. Sung, H. Kim, and D. Kim, J. Magnetics 17, 46 (2012). https://doi.org/10.4283/JMAG.2012.17.1.046
  11. D. Kim, N. Choi, C. Lee, and D. Kim, IEEE Trans. Magn., in press (2014).
  12. http://www.compumag.org/jsite/images/stories/TEAM/ problem22.pdf
  13. K. Davey, IEEE Trans. Magn. 44, 974 (2008). https://doi.org/10.1109/TMAG.2007.916292
  14. S. Xiao, M. Rotaru, and J. Sykulski, IEEE Trans. Magn. 49, 2057 (2013). https://doi.org/10.1109/TMAG.2013.2240662
  15. MagNet/OptiNet User's Manual, Infolytica Corporation, Quebec, Canada (2008).
  16. L. Coelho, C. Bora, and L. Lebensztajn, IEEE Trans. Magn. 48, 751 (2012). https://doi.org/10.1109/TMAG.2011.2174204

Cited by

  1. A Single-Loop Strategy for Efficient Reliability-Based Electromagnetic Design Optimization vol.51, pp.3, 2015, https://doi.org/10.1109/TMAG.2014.2357996
  2. An Efficient Serial-Loop Strategy for Reliability-Based Robust Optimization of Electromagnetic Design Problems vol.54, pp.3, 2018, https://doi.org/10.1109/TMAG.2017.2759169