An improved Preisach distribution function identification method considering the reversible magnetization

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