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Parameter identification of Jiles-Atherton model with nonlinear least-square method

机译:非线性最小二乘法的Jiles-Atherton模型参数辨识

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摘要

A new method to the parameter identification of the widely used scalar Jiles-Atherton (J-A) model of hysteresis is detailed in this paper. The extended J-A model is also investigated including the eddy-current and the anomalous loss terms, which are taken into account by modeling the frequency dependence of the hysteresis. The five parameters of the classical J-A model can be determined from low-frequency hysteresis measurement. At higher frequency the effect of the eddy currents is not negligible, the J-A model must be extended. The loss of the hysteresis characteristics and the coercitive field are increasing with the frequency. Nonlinear least-squares method is used for parameter fitting of classical and extended J-A model, as well. The curve fitting is executed automatically based on the initial parameters and the measured data. (C) 2003 Elsevier B.V. All rights reserved. [References: 7]
机译:本文详细介绍了一种广泛使用的标量Jiles-Atherton(J-A)磁滞模型参数识别的新方法。还研究了扩展的J-A模型,其中包括涡流和异常损耗项,并通过对磁滞的频率依赖性建模来考虑这些项。经典J-A模型的五个参数可以通过低频磁滞测量来确定。在更高的频率下,涡流的影响不可忽略,必须扩展J-A模型。磁滞特性和矫顽场的损失随着频率的增加而增加。非线性最小二乘法也用于经典和扩展J-A模型的参数拟合。根据初始参数和测量数据自动执行曲线拟合。 (C)2003 Elsevier B.V.保留所有权利。 [参考:7]

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