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首页> 外文期刊>Applied mathematics and computation >Difficulty in identification of Preisach hysteresis model weighting function using first order reversal curves method in soft magnetic materials
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Difficulty in identification of Preisach hysteresis model weighting function using first order reversal curves method in soft magnetic materials

机译：在软磁材料中使用一阶逆转曲线法识别识别Preisach滞后模型加权功能

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摘要

The Preisach model can be used for detailed analysis of devices based on ferromagnetic materials, if its parameter, its weighting function, is well-known. Usually the weighting function is approximated by analytical formula. The second approach is to determine it directly from experimental data. Most widely used method to obtain the weighting function is the first order reversal curve method that is based on two partial derivatives of measured magnetization using a special excitation pattern beginning from deep material saturation. Since the derivative enhances the experimental error, a precision experiment is necessary. Furthermore, it is not easy to achieve the deep saturation with the required signal pattern. Therefore sophisticated data processing followed, in order to reduce experimental errors before performing the numerical derivative. The paper concerns measurements errors caused by insufficient saturation and also problems of negative values of the weighting function, partially due to the noise. Irrespective of measurement errors, the agreement between model and experiment is good and fully acceptable in technical praxis. (C) 2017 Elsevier Inc. All rights reserved.
机译：Preisach模型可用于基于铁磁材料的器件的详细分析，如果其参数，其加权函数是众所周知的。通常，加权函数由分析公式近似。第二种方法是直接从实验数据确定它。最广泛使用的方法来获得加权功能是使用从深层材料饱和的特殊激发图案基于测量磁化的两个部分导数的第一阶反转曲线方法。由于衍生物增强了实验误差，因此需要精确的实验。此外，通过所需的信号模式实现深饱和度并不容易。因此，在执行数值衍生物之前，以减少实验误差的复杂数据处理。本文涉及饱和度不足引起的误差以及加权函数的负值问题，部分原因是由于噪声。无论测量误差如何，模型和实验之间的协议都是良好的，在技术实验中是完全可以接受的。 （c）2017年Elsevier Inc.保留所有权利。

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