To address the issue that the vector Preisach model can only simulate isotropic hysteresis characteristics, this paper proposes a different vector hysteresis model. Meanwhile, the Exponential-Triangular Optimization (ETO) algorithm is employed to achieve efficient parameter identification of the vector Preisach model. This algorithm is applicable to the multi-parameter optimization problem of the Preisach model, and can effectively prevent premature convergence to local optima, ensure in-depth exploration of high-quality regions, and significantly improve computational efficiency and accuracy. In this paper, a vector magnetic property experimental platform is used to measure the magnetic properties of ferromagnetic materials under two-dimensional rotational magnetization excitation. Based on the measured data, the simulation effect of the proposed model is verified, and the model parameters are effectively identified.

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Vectorization and Parameter Identification Method of Analytical Preisach Model

  • Mingzhi Chen,
  • Dianhai Zhang,
  • Xuanzhe Zhao,
  • Ziyan Ren,
  • Yanli Zhang

摘要

To address the issue that the vector Preisach model can only simulate isotropic hysteresis characteristics, this paper proposes a different vector hysteresis model. Meanwhile, the Exponential-Triangular Optimization (ETO) algorithm is employed to achieve efficient parameter identification of the vector Preisach model. This algorithm is applicable to the multi-parameter optimization problem of the Preisach model, and can effectively prevent premature convergence to local optima, ensure in-depth exploration of high-quality regions, and significantly improve computational efficiency and accuracy. In this paper, a vector magnetic property experimental platform is used to measure the magnetic properties of ferromagnetic materials under two-dimensional rotational magnetization excitation. Based on the measured data, the simulation effect of the proposed model is verified, and the model parameters are effectively identified.