B-Spline Neural-Network-Based Variable Structure Control for electrohydraulic servo systems with uncertainties

Author

Duan, Suolin ; Zou, Ling ; Ma, Zhenghua

Author_Institution

Dept. of Comput. Sci. & Eng., Jiangsu Polytech. Univ., Changzhou

fYear

2008

fDate

25-27 June 2008

Firstpage

1852

Lastpage

1857

Abstract

A B-spline neural-network-based variable structure controller (VSC) for a class of nonlinear systems with parameter uncertainties is presented. The neural networks compensator is used to compensate the uncertainties in the systems. The tracking performance and stability is guaranteed by the VSC controller. The asymptotical stability of overall systems is verified by the Lyapunov stability criterion. Simulation results of an electrohydraulic force servo control system show that the good tracking characteristic and robustness can be achieved by using the proposed method.

Keywords

Lyapunov methods; asymptotic stability; electrohydraulic control equipment; force control; neurocontrollers; nonlinear control systems; servomechanisms; splines (mathematics); tracking; uncertain systems; variable structure systems; B-spline neural network; Lyapunov stability criterion; asymptotical stability; electrohydraulic force servo control system; neural networks compensator; nonlinear systems; parameter uncertainties; tracking performance; variable structure control; Control systems; Electric variables control; Electrohydraulics; Neural networks; Nonlinear control systems; Nonlinear systems; Servomechanisms; Spline; Uncertain systems; Uncertainty; B-Spline Neural-Network; electrohydraulic force servo control system; uncertainties; variable Structure Controller;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4593205

Filename

4593205