Title :
Optimization of hysteresis parameters for the Jiles-Atherton model using a genetic algorithm
Author :
Cao, Shuying ; Wang, Boweng ; Yan, Rongge ; Huang, Wenmei ; Yang, Qingxin
Author_Institution :
Sch. of Electr. Eng. & Automatization, Hebei Univ. of Technol., Tianjin, China
fDate :
6/1/2004 12:00:00 AM
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 :
actuators; genetic algorithms; hysteresis; magnetostrictive devices; Jiles-Atherton model; dynamic model; genetic algorithm; hysteresis parameters; hysteretic nonlinearity; magnetostrictive actuators; optimization; parameter identification; Genetic algorithms; Intelligent actuators; Magnetic hysteresis; Magnetic materials; Magnetostriction; Parameter estimation; Saturation magnetization; Solenoids; Springs; Superconducting magnets; Genetic algorithm; Jiles-Atherton model; hysteresis; magnetostrictive actuator; optimization;
Journal_Title :
Applied Superconductivity, IEEE Transactions on
DOI :
10.1109/TASC.2004.830462
