Qualitative Ferromagnetic Hysteresis Modeling
M. Mordjaoui, M. Chabane, B. Boudjema and R. Daira
DOI : 10.3844/jcssp.2007.399.405
Journal of Computer Science
Volume 3, Issue 6
In determining the electromagnetic properties of magnetic materials, hysteresis modeling is of high importance. Many models are available to investigate those characteristics but they tend to be complex and difficult to implement. A new qualitative hysteresis model for ferromagnetic core presented, based on the function approximation capabilities of adaptive neuro-fuzzy inference system (ANFIS). 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 model accuracy was good and can be easily adapted to the requirements of the application by extending or reducing the network training set and thus the required amount of measurement data.
© 2007 M. Mordjaoui, M. Chabane, B. Boudjema and R. Daira. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.