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.
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.