A new algorithm for numerical identification of the static Preisach hysteresis model is proposed for more accurate estimation of dc-biasing hysteresis curves and hysteresis loss of the grain-oriented silicon steel sheet. Based on the experimental asymmetric major hysteresis loop under dc-biased magnetization, two sets of first-order reversal curves corresponding to ascending and descending branches, respectively, are numerically generated for construction of the Everett function. According to the equivalent field separation technique, a dynamic hysteresis model is established by parameter extraction of excess loss, and then used for simulation of dc-biasing dynamic hysteretic behaviors. The consistency between the simulated results and the measured ones demonstrates the effectiveness of the proposed method. The effect of dc bias on iron loss is analyzed as well.

中文翻译：

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直流偏置磁化下GO硅钢损耗估计的动态滞后模型

为了更准确地估计取向硅钢片的直流偏置滞后曲线和滞后损耗，提出了一种新的静态Preisach滞后模型的数值识别算法。基于直流偏置磁化下的实验不对称主磁滞回线，分别对应于上升和下降分支的两组一阶反转曲线分别被数值生成用于构造埃弗雷特函数。根据等效场分离技术，通过提取超额损耗参数建立动态迟滞模型，用于直流偏置动态迟滞行为的仿真。模拟结果与实测结果的一致性证明了所提出方法的有效性。