New dynamic hysteresis model by means of soft computing approach
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CitationBoudjema, B., Mordjaoui, M., Bouaba, M. ve Daira, R. (2009). Maltepe Üniversitesi. s. 117.
The study and calculation of magnetic field in electrical machines required dynamic hysteresis model. On the basis of fuzzy clustering and Neuro-fuzzy identification capability of any kind of nonlinear, continuous functions represented by its discrete set of measured data, a new modeling technique for dynamic magnetic hysteresis is presented and compared with measured data. Four technique are study and compared, the first one is based on neuro-fuzzy technique by using an adaptive neuro-fuzzy system identification and the others are based in Gustafson-Kessel, Gath- Geva and EM fuzzy clustering algorithm. Very accurate prediction of dynamic hysteresis loops is observed, proving that the clustering and Neuro-fuzzy techniques are suitable for hysteresis modeling.
SourceInternational Conference of Mathematical Sciences
- Makale Koleksiyonu 
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