KIEE International Transaction on Electrical Machinery and Energy Conversion Systems

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

Determination of the Distribution of the Preisach Density Function With Optimization Algorithm

  • Hong Sun-Ki (School of Electrical Eng., Hoseo University) ;
  • Koh Chang Seop (Department of Electrical Eng., Chungbuk National University)
  • 발행 : 2005.09.01
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초록

The Preisach model needs a distribution function or Everett function to simulate the hysteresis phenomena. To obtain these functions, many experimental data obtained from the first order transition curves are usually required. In this paper, a simple procedure to determine the Preisach density function using the Gaussian distribution function and genetic algorithm is proposed. The Preisach density function for the interaction field axis is known to have Gaussian distribution. To determine the density and distribution, genetic algorithm is adopted to decide the Gaussian parameters. With this method, just basic data like the initial magnetization curve or saturation curves are enough to get the agreeable density function. The results are compared with experimental data and we got good agreements comparing the simulation results with the experiment ones.

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참고문헌

  1. F. Ossart, 'Comparison between Various Hysteresis Models and Experimental Data,' IEEE Trans. on Magn., Vol. 26, No. 5, pp.2837-2839, September 1990 https://doi.org/10.1109/20.104893
  2. F.Vajda and E.Della Torre, 'Relationship between the Moving and the Product Preisach Models,' IEEE Trans. on Magn., Vol.27, No.5, pp.3823-3826, September, 1991 https://doi.org/10.1109/20.104935
  3. S.K. Hong, H.K. Kim and H.K. Jung, 'Formulation of the Everett Function Using Least Square Method', IEEE Trans. on Magn. Vol.34, No.5, pp.3052-3055, September, 1998 https://doi.org/10.1109/20.717714
  4. C. S. Koh and J. S. Ryu, 'Identification of the Distribution Function of the Preisach Model using Inverse Algorithm', KIEE International Transactions on EMECS, pp.168-173, 2002
  5. A. Salvini, F.R. Fulginei, G. Pucacco, 'Generalization of the static Preisach model for dynamic hysteresis by a genetic approach', IEEE Trans. on Magn., Vol. 39, Issue 3, pp.1353-1356, May 2003 https://doi.org/10.1109/TMAG.2003.810538
  6. O. A. Mohammed, 'GA optimization in electric machines,' in 1997 IEEE IEMDC Record, pp. TA1-2.1-TA1-2.6