Title :
Internal model control for hysteretic nonlinear systems based on support vector regression
Author :
Zhang, Wenguang ; Mao, Jianqin ; Ma, Yanhua
Author_Institution :
Beijing Key Lab. of Meas. & Control Technol. & Syst. for Ind. Process, North China Electr. Power Univ., Beijing, China
Abstract :
Aim at the hysteretic nonlinearity characteristic of the giant magnetostrictive actuator in control, an internal model control method based on support vector regression is presented in this paper. Its models are built by support vector regression using the input and output data of the actuator and the internal model control is achieved. The simulation results show the method in this paper has better control precision.
Keywords :
control nonlinearities; electromagnetic actuators; magnetostrictive devices; regression analysis; support vector machines; variable structure systems; giant magnetostrictive actuator; hysteretic nonlinear systems; internal model control; support vector regression; Actuators; Automation; Computational modeling; Data models; Hysteresis; Magnetostriction; Support vector machines; giant magnetostriction; hysteretic nonlinearity; internal model control; support vector regression;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554478
