کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8156824 | 1524847 | 2015 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A self-adaptive genetic algorithm to estimate JA model parameters considering minor loops
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
فیزیک ماده چگال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A self-adaptive genetic algorithm to estimate JA model parameters considering minor loops A self-adaptive genetic algorithm to estimate JA model parameters considering minor loops](/preview/png/8156824.png)
چکیده انگلیسی
A self-adaptive genetic algorithm for estimating Jiles-Atherton (JA) magnetic hysteresis model parameters is presented. The fitness function is established based on the distances between equidistant key points of normalized hysteresis loops. Linearity function and logarithm function are both adopted to code the five parameters of JA model. Roulette wheel selection is used and the selection pressure is adjusted adaptively by deducting a proportional which depends on current generation common value. The Crossover operator is established by combining arithmetic crossover and multipoint crossover. Nonuniform mutation is improved by adjusting the mutation ratio adaptively. The algorithm is used to estimate the parameters of one kind of silicon-steel sheet's hysteresis loops, and the results are in good agreement with published data.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Magnetism and Magnetic Materials - Volume 374, 15 January 2015, Pages 502-507
Journal: Journal of Magnetism and Magnetic Materials - Volume 374, 15 January 2015, Pages 502-507
نویسندگان
Hai-liang Lu, Xi-shan Wen, Lei Lan, Yun-zhu An, Xiao-ping Li,