Title :
Studied on anti-interference based on dynamic surface control
Author :
Gao, Qian ; He, Naibao
Author_Institution :
Huaihai Inst. of Technol., Lianyungang, China
Abstract :
The longitudinal control of NSV (Nearspace Vehicle) under uncertainty is studied. An approach of backstepping control based on adaptive dynamic surface is proposed. RBFNN is used to approximate the unknown compound disturbance and the robust item is introduced into the virtual controller to cancel the influence of compound disturbance and improve the robustness and adaptation of the system. Simulation results show that the proposed strategy possesses good robustness and briefness.
Keywords :
adaptive control; approximation theory; nonlinear control systems; radial basis function networks; robust control; space vehicles; NSV longitudinal control; RBFNN; adaptive dynamic surface-based backstepping control; compound disturbance influence; dynamic surface control-based antiinterference; nearspace vehicle longitudinal control; system adaptation; system robustness; unknown compound disturbance; virtual controller; Adaptive control; Compounds; Neural networks; Nonlinear systems; Observers; Robustness; Vehicle dynamics; Dynamic Surface Control; adaptive control; nonlinear systems;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6358024
