Title :
Modeling for stress-dependent hysteresis nonlinearity in giant magnetostrictive actuator
Author :
Guo Zhenkai ; Fang Aili ; Guan Xinping ; Wei Xinjiang
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
The hysteresis nonlinearity is influenced by the different compressive stress acting on giant magnetostrictive actuator (GMA), which has influence in the control precision and the system stability. Aiming at the nonlinearity, a dynamic modeling method, which is based on an improved online least squares support vector machines (IOLS-SVM), is presented in this paper to describe online the stress-dependent hysteresis nonlinearity in GMA, and real-time control. Compared with the presented stress-dependent hysteresis dynamic model and the experimental data, the results show that the presented model can well describe the stress-dependent hysteresis nonlinearity, demonstrate the validity and the effectiveness of the dynamic model.
Keywords :
compressive strength; control nonlinearities; least squares approximations; magnetic actuators; magnetic hysteresis; magnetostrictive devices; support vector machines; IOLS-SVM; compressive stress; control precision; giant magnetostrictive actuators; improved online least squares support vector machines; realtime control; stress-dependent hysteresis nonlinearity; system stability; Actuators; Hysteresis; Magnetic hysteresis; Magnetostriction; Magnetostrictive devices; Support vector machines; Giant Magnetostrictive Actuator; Hysteresis Nonlinearity; Modeling; Online Least Squares Support Vector Machines; Stress-dependent;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an