TY  - JOUR
T1  - Adaptive Neuro-Fuzzy Inference System for Modeling Magnetic Hysteresis
AU - , M. Mordjaoui AU - , M. Chabane AU - , B. Boudjema AU - , R. Daira 
JO  - Asian Journal of Information Technology
VL  - 6
IS  - 1
SP  - 95
EP  - 101
PY  - 2007
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2007.95.101
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2007.95.101
KW  - ANFIS modeling technique
KW  -magnetic hysteresis
KW  -jiles-atherton model
KW  -ferromagnetic core
AB  - 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.
ER  -