Softcomputing for the identification of the Jiles-Atherton model parameters

被引：57
|
作者：
Fulginei, FR [1 ]
Salvini, A [1 ]
机构：
[1] Univ Roma Tre, Dipartimento Elettron Appl, I-00146 Rome, Italy
来源：
IEEE TRANSACTIONS ON MAGNETICS | 2005年 / 41卷 / 03期
关键词：
genetic algorithms; magnetic hysteresis; optimization;
D O I：
10.1109/TMAG.2004.843345
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：
This paper presents a Jiles-Atherton hysteresis model identification method based on a partnership of heuristic techniques and fuzzy logic (softcomputing). Two different softcomputing approaches are proposed and analyzed: a partnership between genetic algorithms (GAs) and fuzzy logic (FL) and one between GAs and simulated annealing (SA). Validations of both symmetric (saturated or minor loops) and a symmetric loops are described.
引用
收藏
页码：1100 / 1108
页数：9
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