Asian Journal of Information Technology

Year: 2007
Volume: 6
Issue: 1
Page No. 95 - 101

Adaptive Neuro-Fuzzy Inference System for Modeling Magnetic Hysteresis

Authors : M. Mordjaoui , M. Chabane , B. Boudjema and R. Daira

Abstract: The accurate characterization and modeling of magnetic material are critical in simulating the performance analysis of electrical circuits incorporating magnetic components. In this study, a new approach for modeling hysteresis loop of ferromagnetic material based on Adaptive Neuro-fuzzy Inference System (ANFIS) was presented. The proposed ANFIS model combined the neural network adaptive capabilities and the fuzzy logic qualitative approach can restored the hysteresis curve with a little RMS error. The applicability of the developed method is illustrated in figures. Simulation tests and results will be presented in the following.

How to cite this article:

M. Mordjaoui , M. Chabane , B. Boudjema and R. Daira , 2007. Adaptive Neuro-Fuzzy Inference System for Modeling Magnetic Hysteresis. Asian Journal of Information Technology, 6: 95-101.

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