Modeling dynamic hysteresis for giant magnetostrictive actuator using hybrid genetic algorithm

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. Compariso...

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Veröffentlicht in:IEEE transactions on magnetics 2006-04, Vol.42 (4), p.911-914
Hauptverfasser: Shuying Cao, Shuying Cao, Boweng Wang, Boweng Wang, Jiaju Zheng, Jiaju Zheng, Wenmei Huang, Wenmei Huang, Ying Sun, Ying Sun, Qingxin Yang, Qingxin Yang
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container_issue 4
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container_title IEEE transactions on magnetics
container_volume 42
creator Shuying Cao, Shuying Cao
Boweng Wang, Boweng Wang
Jiaju Zheng, Jiaju Zheng
Wenmei Huang, Wenmei Huang
Ying Sun, Ying Sun
Qingxin Yang, Qingxin Yang
description 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
doi_str_mv 10.1109/TMAG.2006.871465
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subjects Cross-disciplinary physics: materials science
rheology
Dynamic hysteresis model
Eddy currents
Exact sciences and technology
Frequency
Genetic algorithms
hybrid genetic algorithm (HGA)
Jiles-Atherton model
Magnetic field induced strain
Magnetic fields
Magnetic hysteresis
Magnetism
Magnetostriction
magnetostrictive actuator (MA)
Materials science
Other topics in materials science
Physics
Piezoelectric actuators
Saturation magnetization
Vibration control
title Modeling dynamic hysteresis for giant magnetostrictive actuator using hybrid genetic algorithm
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