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

Shuying Cao; Boweng Wang; Rongge Yan; Wenmei Huang; Qingxin Yang

doi:10.1109/TASC.2004.830462

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

Shuying Cao^*
, Boweng Wang
, Rongge Yan
, Wenmei Huang
, Qingxin Yang

^*Corresponding author for this work

Hebei University of Technology

Research output: Contribution to journal › Article › peer-review

43 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	1157-1160
Number of pages	4
Journal	IEEE Transactions on Applied Superconductivity
Volume	14
Issue number	2
DOIs	https://doi.org/10.1109/TASC.2004.830462
State	Published - Jun 2004
Externally published	Yes

Keywords

Genetic algorithm
Hysteresis
Jiles-Atherton model
Magnetostrictive actuator
Optimization

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10.1109/TASC.2004.830462

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title = "Optimization of hysteresis parameters for the Jiles-Atherton model using a genetic algorithm",

abstract = "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.",

keywords = "Genetic algorithm, Hysteresis, Jiles-Atherton model, Magnetostrictive actuator, Optimization",

author = "Shuying Cao and Boweng Wang and Rongge Yan and Wenmei Huang and Qingxin Yang",

year = "2004",

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doi = "10.1109/TASC.2004.830462",

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AU - Cao, Shuying

AU - Wang, Boweng

AU - Yan, Rongge

AU - Huang, Wenmei

AU - Yang, Qingxin

PY - 2004/6

Y1 - 2004/6

N2 - 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.

AB - 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.

KW - Genetic algorithm

KW - Hysteresis

KW - Jiles-Atherton model

KW - Magnetostrictive actuator

KW - Optimization

UR - https://www.scopus.com/pages/publications/4344568141

U2 - 10.1109/TASC.2004.830462

DO - 10.1109/TASC.2004.830462

M3 - 文章

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SN - 1051-8223

VL - 14

SP - 1157

EP - 1160

JO - IEEE Transactions on Applied Superconductivity

JF - IEEE Transactions on Applied Superconductivity

IS - 2

ER -

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

Abstract

Keywords

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