First order reversal curves identification procedures for vector models of hysteresis

Abstract

The first order reversal curves (FORCs) technique has been extensively used in the last years for the identification of parameters of Preisach-type models of hysteresis. The technique proved both accurate and robust for the identification of the Preisach distribution function but due to the relatively high computational complexity, it has only been applied to scalar models of hysteresis. The theoretical foundations of the procedure for the identification of parameters of vector Preisach models by using FORCs were established by Mayergoyz. However, to our knowledge, the numerical implementation of the technique has received very little attention in the literature and there is no experimental testing of this technique either. In this paper, we present for the first time results obtained for the identification of the vector Preisach distribution by using FORC diagrams for a magnetic tape with uniaxial anisotropy. We also tested the model with simulated data produced by a vectorial Preisach model in which the pseudoparticles’ equilibrium state was calculated with a Landau–Lifshitz–Gilbert algorithm.