Title :
Modeling dynamic hysteresis for giant magnetostrictive actuator using hybrid genetic algorithm
Author :
Cao, Shuying ; Wang, Boweng ; Zheng, Jiaju ; Huang, Wenmei ; Sun, Ying ; Yang, Qingxin
Author_Institution :
Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin
fDate :
4/1/2006 12:00:00 AM
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 :
eddy current losses; electromagnetic actuators; genetic algorithms; magnetic hysteresis; magnetostrictive devices; anomalous loss; dynamic hysteresis model; eddy current loss; giant magnetostrictive actuator; hybrid genetic algorithm; structural dynamic mechanical behavior; Eddy currents; Frequency; Genetic algorithms; Magnetic field induced strain; Magnetic fields; Magnetic hysteresis; Magnetostriction; Piezoelectric actuators; Saturation magnetization; Vibration control; Dynamic hysteresis model; Jiles–Atherton model; hybrid genetic algorithm (HGA); magnetostrictive actuator (MA);
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2006.871465