Optimization of hysteresis parameters for the Jiles-Atherton model using a genetic algorithm

被引：32

作者：

Cao, SY ^{[1
]}

Wang, BW ^{[1
]}

Yan, RG ^{[1
]}

Huang, WM ^{[1
]}

Yang, QX ^{[1
]}

机构：

[1] Hebei Univ Technol, Sch Elect Engn & Automatizat, Tianjin 300130, Peoples R China

来源：

IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY | 2004年 / 14卷 / 02期

关键词：

genetic algorithm; hysteresis; Jiles-Atherton model; magnetostrictive actuator; optimization;

D O I：

10.1109/TASC.2004.830462

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：

A dynamic model with hysteretic nonlinearity for magnetostrictive actuators has been established, combined with the Jiles-Atherton model. The hysteresis parameters for the model have been optimized using the genetic algorithm (GA). Simulation and experimental results demonstrated the effectiveness of the model and parameter identification approach.

引用

页码：1157 / 1160

页数：4

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