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

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5 Author(s)
Shuying Cao ; Sch. of Electr. Eng. & Automatization, Hebei Univ. of Technol., Tianjin, China ; Boweng Wang ; Rongge Yan ; Huang, Wenmei
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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.

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Applied Superconductivity, IEEE Transactions on  (Volume:14 ,  Issue: 2 )