FERROMAGNETIC HYSTERESIS MODELLING WITH ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM

Mourad Mordjaoui - Mabrouk Chabane - Bouzid Boudjema

   Hysteresis modeling is an important criterion in defining the electromagnetic properties of magnetic materials. Many models are available to investigate those characteristics but they tend to be complex and difficult to implement. In this paper a new qualitative hysteresis model for the ferromagnetic core is presented, based on the function approximation capabilities of an adaptive neuro fuzzy inference system (ANFIS). The proposed ANFIS model combined the neural network adaptive capabilities and the fuzzy logic qualitative approach can restore the hysteresis curve with a little RMS error. Therefore, the accuracy of the model developed is good as the quality of the data used.

Keywords: ANFIS modeling technique, magnetic hysteresis, Jiles-Atherton model, ferromagnetic core

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