Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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Dynamic Hysteresis Model Based on Fuzzy Clustering Approach

  • Mourad, Mordjaoui (Dept. of Electrical Engineering, Faculty of technology Skikda University) ;
  • Bouzid, Boudjema (Dept. of Physics faculty of science, Skikda University)
  • Received : 2011.04.05
  • Accepted : 2012.07.01
  • Published : 2012.11.01
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Abstract

Hysteretic behavior model of soft magnetic material usually used in electrical machines and electronic devices is necessary for numerical solution of Maxwell equation. In this study, a new dynamic hysteresis model is presented, based on the nonlinear dynamic system identification from measured data capabilities of fuzzy clustering algorithm. The developed model is based on a Gustafson-Kessel (GK) fuzzy approach used on a normalized gathered data from measured dynamic cycles on a C core transformer made of 0.33mm laminations of cold rolled SiFe. The number of fuzzy rules is optimized by some cluster validity measures like 'partition coefficient' and 'classification entropy'. The clustering results from the GK approach show that it is not only very accurate but also provides its effectiveness and potential for dynamic magnetic hysteresis modeling.

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References

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