Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
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 . Adaptive Neuro-Fuzzy Inference System for Modeling Magnetic Hysteresis.
DOI: https://doi.org/10.36478/ajit.2007.95.101
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2007.95.101