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

fYear

2008

fDate

1-3 Sept. 2008

Firstpage

331

Lastpage

335

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICAL.2008.4636170

Filename

4636170