Improved Jiles-Atherton model for least square identification using sensitivity function normalization

被引：9

作者：

Etien, Erik ^{[1
]}

Halbert, Damien ^{[1
]}

Poinot, Thierry ^{[1
]}

机构：

[1] LAII, F-86000 Poitiers, France

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2008年 / 44卷 / 07期

关键词：

Jiles-Atherton model; magnetic hysteresis; nonlinear least square algorithm;

D O I：

10.1109/TMAG.2008.920710

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We present an improved version of the Jiles-Atherton model for least square identification. We first use a simplified anhysteretic magnetization model to provide simple estimates of the initial parameters. Then we perform a normalization of sensitivity functions to improve the convergence of the Levenberg-Marquardt algorithm, leading to the emergence of optimal parameters. Experimental trials validate our method.

引用

收藏

页码：1721 / 1727

页数：7

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