Abstract
To simulate the anisotropic hysteresis characteristics of soft magnetic composite (SMC) materials accurately, an improved vector hysteresis model was proposed and utilized to adjust the shape of hysteresis curves by introducing two parameters. These two parameters are correlated with the amplitude of the vector Everett function and the projection of magnetic flux density along different directions. An experimental platform was built to measure the two-dimensional (2-D) magnetic properties of the SMC material under rotational magnetizations. The scalar and vector Everett functions were constructed by the measured limiting hysteresis loops. A hybrid optimization strategy based on the particle swarm optimization (PSO) and Powell technique was proposed to identify the parameters of the improved model efficiently and precisely, which significantly improved the local optimization ability of the PSO algorithm. The simulated results strongly agree with the measured ones, and thus the effectiveness of the improved vector model and the parameter identification method proposed in this paper was verified.
Highlights
Soft magnetic composite (SMC) materials have been extensively used in motors and power electronic devices due to their unique electromagnetic properties such as magnetic and thermal isotropy, diversified processing shapes, and low eddy current loss at medium and higher frequencies [1]
As a kind of complex characteristic inherent in SMC materials, hysteresis has a great impact on the optimal design and analysis of electrical equipment, so accurate measurement and simulation of the hysteresis properties of these materials is critical to their research and application [2]
It takes only four iterations to achieve the th automatically when it reaches the 12 iteration, thereafter the Powell algorithm is started with convergence. These results show that the hybrid algorithm of particle swarm optimization (PSO)–Powell exhibits a faster the previously optimized results asPSO
Summary
Soft magnetic composite (SMC) materials have been extensively used in motors and power electronic devices due to their unique electromagnetic properties such as magnetic and thermal isotropy, diversified processing shapes, and low eddy current loss at medium and higher frequencies [1]. It is of great importance to measure and model the vector hysteresis properties of SMC materials under rotational excitations [6]. Miklós Kuczmann proposed an improved vector Preisach model to simulate the slight anisotropic behavior of isotropic materials, whereas it indicated great errors at low amplitudes of the magnetic flux density [12]. Soda presented the E&S vector hysteresis model considering the anisotropic properties under rotational magnetization. It requires large amounts of experimental data to obtain numerous parameters, which severely limits its application [13]. By introducing the correlation parameters, the classic vector hysteresis model was modified to simulate the vector hysteresis curves of the SMC material, considering the anisotropy property. The validity of the proposed method was proved by comparing the measured results with the simulated ones
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