Title :
WIPs real-time control using RIBTC
Author :
Chiu, Chih-Hui ; Peng, Ya-Fu ; Lin, You-Wei
Author_Institution :
Dept. of Electr. Eng., Yuan Ze Univ., Chungli, Taiwan
Abstract :
In this study, a robust intelligent backstepping tracking control (RIBTC) system combined with AORCMAC and H∞ control technique is proposed for wheeled inverted pendulums (WIPs) real-time control with exact system dynamics unknown and external disturbances. In the proposed control system, an adaptive output recurrent cerebellar model articulation controller (AORCMAC) is used to copy an ideal backstepping control (IBC), and a robust H∞ controller is designed to attenuate the effect of the residual approximation errors and external disturbances with desired attenuation level. Moreover, the all adaptation laws of the RIBTC system are derived based on the Lyapunov stability analysis, the Taylor linearization technique and H∞ control theory, so that the stability of the closed-loop system and H∞ tracking performance can be guaranteed.
Keywords :
H∞ control; Lyapunov methods; adaptive control; approximation theory; cerebellar model arithmetic computers; closed loop systems; intelligent control; nonlinear control systems; pendulums; robust control; AORCMAC; H∞ control technique; H∞ tracking performance; Lyapunov stability analysis; RIBTC; Taylor linearization technique; WIP real-time control; adaptation laws; adaptive output recurrent cerebellar model articulation controller; closed-loop system; ideal backstepping control; residual approximation errors; robust intelligent backstepping tracking control system; system dynamics; wheeled inverted pendulums real-time control; Driver circuits; Generators; Microcomputers; Pulse width modulation; Sensors;
Conference_Titel :
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6916-1
DOI :
10.1109/IJCNN.2010.5596286