Title :
Adaptive sliding mode control for Airborne Opto-Electronic Platform servo system
Author :
Wang, Chang-xu ; Liu, Jing-hong ; Shen, Hong-hai ; Dai, Ming
Author_Institution :
Changchun Inst. of Opt., Chinese Acad. of Sci., Changchun
Abstract :
The novel presents an adaptive reaching law sliding mode controller to stove a class of uncertain systems.The airborne opto-electronic platform sliding model is employed to represent a class of complex uncertain system. The control is based on reaching law control. Discrete time implementation of the sliding mode control strategy is considered in the paper, since it is more appropriate for practical applications. It is shown that the robustness of the sliding mode control method is constrained by sampling time. Design of the adaptive reaching law based on a discrete expotential reaching law concept is given, which to design a new sliding mode controller based on Lyapunov stability theory. The global asymptotic stability is guaranteed. An example with simulation results is given to illustrate the effectiveness of the proposed method.
Keywords :
Lyapunov methods; adaptive control; asymptotic stability; discrete systems; large-scale systems; optoelectronic devices; servomechanisms; uncertain systems; variable structure systems; Lyapunov stability theory; adaptive reaching law sliding mode controller; airborne opto-electronic platform servo system; asymptotic stability; complex uncertain system; discrete expotential reaching law; Adaptive control; Asymptotic stability; Lyapunov method; Programmable control; Robust control; Sampling methods; Servomechanisms; Sliding mode control; Time factors; Uncertain systems; Adaptive reaching law; Simulation; Sliding Mode Control; Uncertain Systems;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620708
