An Improved Preisach Distribution Function Identification Method Considering the Reversible Magnetization

Abstract

This paper presents an identification method of the scalar Preisach model to consider the effect of reversible magnetization in the process of distribution function identification. By reconsidering the identification process by stripping the influence of reversible components from the measurement data, the Preisach distribution function is identified by the pure irreversible components. In this way, the simulation accuracy of both limiting hysteresis loops and the inner internal symmetrical small hysteresis loop is ensured. Furthermore, through a discrete Preisach plane with a hybrid discretization method, the irreversible magnetic flux density components are computed more efficiently through the improved Preisach model. Finally, the proposed method results are compared with the traditional method and the traditional method considering reversible magnetization and validated by the laboratory test for the B30P105 electrical steel by Epstein frame.