Modeling dynamic hysteresis for giant magnetostrictive actuator using hybrid genetic algorithm

Shuying Cao; Boweng Wang; Jiaju Zheng; Wenmei Huang; Ying Sun; Qingxin Yang

doi:10.1109/TMAG.2006.871465

Modeling dynamic hysteresis for giant magnetostrictive actuator using hybrid genetic algorithm

Shuying Cao^*
, Boweng Wang
, Jiaju Zheng
, Wenmei Huang
, Ying Sun
, Qingxin Yang

^*Corresponding author for this work

Hebei University of Technology

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

27 Scopus citations

Abstract

This paper establishes a simple and novel dynamic hysteresis model for giant magnetostrictive actuator by considering the eddy current loss, anomalous loss and structural dynamic mechanical behavior of the actuator. To obtain parameters of the model, a hybrid genetic algorithm is proposed. Comparisons between the experimental and calculated results show the validity and practicability of the model

Original language	English
Pages (from-to)	911-914
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	42
Issue number	4
DOIs	https://doi.org/10.1109/TMAG.2006.871465
State	Published - Apr 2006
Externally published	Yes

Keywords

Dynamic hysteresis model
Hybrid genetic algorithm (HGA)
Jiles-Atherton model
Magnetostrictive actuator (MA)

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10.1109/TMAG.2006.871465

Cite this

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abstract = "This paper establishes a simple and novel dynamic hysteresis model for giant magnetostrictive actuator by considering the eddy current loss, anomalous loss and structural dynamic mechanical behavior of the actuator. To obtain parameters of the model, a hybrid genetic algorithm is proposed. Comparisons between the experimental and calculated results show the validity and practicability of the model",

keywords = "Dynamic hysteresis model, Hybrid genetic algorithm (HGA), Jiles-Atherton model, Magnetostrictive actuator (MA)",

author = "Shuying Cao and Boweng Wang and Jiaju Zheng and Wenmei Huang and Ying Sun and Qingxin Yang",

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AU - Huang, Wenmei

AU - Sun, Ying

AU - Yang, Qingxin

PY - 2006/4

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AB - This paper establishes a simple and novel dynamic hysteresis model for giant magnetostrictive actuator by considering the eddy current loss, anomalous loss and structural dynamic mechanical behavior of the actuator. To obtain parameters of the model, a hybrid genetic algorithm is proposed. Comparisons between the experimental and calculated results show the validity and practicability of the model

KW - Dynamic hysteresis model

KW - Hybrid genetic algorithm (HGA)

KW - Jiles-Atherton model

KW - Magnetostrictive actuator (MA)

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Modeling dynamic hysteresis for giant magnetostrictive actuator using hybrid genetic algorithm

Abstract

Keywords

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