Research on the Jiles-Atherton Model and Accurate Parameter Identification Based on Non-hysteresis Magnetization Correction

The classical Jiles-Atherton hysteresis model is widely used in the parameters identification for transformer core, which has the problem of large demagnetization curve error. To optimize this phenomenon, this paper proposes a new idea to revise the J-A hysteresis model based on non-hysteresis magnetization correction. Base on the Langevin equation and the energy conservation equation in ferromagnetic materials, the errors and its influencing factors of applying the classical J-A theoretical model to the identification of hysteresis loops are summarized. In the revision of the model, the hysteresis loss caused by the draw point at the moment of magnetization and demagnetization in loop curves are concluded. The equation of energy conservation that is more in line with the actual physical mechanism of magnetization are derived, which exists more efficient for the J-A parameters identification. After the model parameters are obtained by the particle swarm optimization algorithm, simulation studies are carried out for different samples, its comparative analysis with the actual measurement data is summarized. The results show that, compared with the classical J-A model, the simulation results of the revised model proposed in this paper are in high agreement with the measured magnetic property data of the material, and the hysteresis loop tends to be better fitted in the saturated section, which is more accurately adapted to the physical process of magnetization of the iron core material.