Two-Dimensional Vector Hysteresis Simulation of Soft Magnetic Composite Materials Based on the Hybrid Algorithm of PSO-Powell
Zhao Xiaojun1, Xu Huawei1, Liu Xiaona2, Li Yongjian3, Du Zhenbin4
1. Department of Electrical and Electronic Engineering North China Electric Power University Baoding 071003 China; 2. Xi’an Huawei Technologies Co. Ltd Xi’an 710075 China; 3. Province-Ministry Joint Key laboratory of Electromagnetic Field and Electrical Apparatus Reliability Hebei University of Technology Tianjin 300130 China; 4. Hebei Provincial Key Laboratory of Electromagnetic & Structural Performance of Power Transmission and Transformation Equipment Baoding 071056 China
Abstract：An improved vector hysteresis model was proposed because the classical vector Preisach model can only simulate the isotropic hysteresis characteristics of materials. The improved model was utilized to regulate the curve shape of magnetic field strength by introducing the correlation parameters of its amplitude and direction angle. Accordingly, the anisotropy characteristics of soft magnetic composite (SMC) materials can be considered. The experiment for measuring the two- dimensional rotational magnetic properties of the SMC material was carried out by the vector magnetic property platform. The measured limiting hysteresis loops were required to construct the scalar and vector Everett functions. Moreover, a hybrid optimization strategy based on particle swarm optimization (PSO) and Powell technique was proposed to identify the parameters of the vector Preisach hysteresis model efficiently, which significantly improved the local optimization ability of the PSO algorithm. The simulation results are consistent with the measurement results, which verifies the effectiveness of the improved vector model and the parameter identification method proposed in this paper.
赵小军, 徐华伟, 刘小娜, 李永建, 杜振斌. 基于PSO-Powell混合算法的软磁复合材料二维矢量磁滞特性模拟[J]. 电工技术学报, 2021, 36(14): 2893-2903.
Zhao Xiaojun, Xu Huawei, Liu Xiaona, Li Yongjian, Du Zhenbin. Two-Dimensional Vector Hysteresis Simulation of Soft Magnetic Composite Materials Based on the Hybrid Algorithm of PSO-Powell. Transactions of China Electrotechnical Society, 2021, 36(14): 2893-2903.
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2021, Vol. 36 
