Title :
Modeling of stress dependent hysteresis nonlinearity based on fuzzy tree for GMA
Author :
Kang, Xu ; Zhen, Zhang ; Jianqin, Mao
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., BeiHang Univ., Beijing
Abstract :
Due to high output force and great displacement, giant magnetostrictive actuator (GMA) has a wide application including microposition and active vibration control. However, the inherent hysteresis nonlinearity of GMA impacts severely the stability and precision of the system; especially the complex hysteresis nonlinearity is stress-dependent. Based on the modified Prandtl-Ishlinskii (MPI) model and identifying the weight parameters by fuzzy tree, a method of modeling stress-dependent hysteresis nonlinearity for GMA is proposed in this paper. Simulation results show that there are good agreements between modeling results and experimental results.
Keywords :
control nonlinearities; electromagnetic actuators; fuzzy set theory; hysteresis; magnetostrictive devices; trees (mathematics); active vibration control; complex hysteresis nonlinearity; fuzzy tree; giant magnetostrictive actuator; microposition; modified Prandtl-Ishlinskii model; stability; stress dependent hysteresis nonlinearity; system precision; Actuators; Aerospace materials; Automation; Fuzzy control; Hysteresis; Logistics; Magnetic materials; Magnetostriction; Stress; Vibration control; Fuzzy Tree; Giant Magnetostrictive Actuator; Identification; Prandtl-Ishlinskii model; stress-dependent;
Conference_Titel :
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-2502-0
Electronic_ISBN :
978-1-4244-2503-7
DOI :
10.1109/ICAL.2008.4636170
