Title :
Robust adaptive tracking control for air-breathing hypersonic vehicles
Author :
Zhiling Yang ; Bin Meng ; Hongfei Sun
Author_Institution :
Dept. of Autom., Xiamen Univ., Xiamen, China
fDate :
May 31 2014-June 2 2014
Abstract :
This paper focuses on the adaptive tracking problem for air-breathing hypersonic vehicles (AHVs) subject to aerodynamic uncertainties and unknown disturbances caused by modeling errors. Motivated by the nonlinear disturbance observer-based control approach (NDOBC), the parameter uncertainties are merged into the disturbances. A control law based on the tracking control method originally proposed by Sun et al. (2013) is designed to achieve the desired tracking objective. The adaptation law used to update the disturbances estimates can be synthesized by usual adaptive control techniques. Different from the backstepping method, this control method does not need to transform the system model into a strict-feedback form. Simulation results show its effectiveness.
Keywords :
adaptive control; aerodynamics; aircraft control; control nonlinearities; missile control; nonlinear control systems; observers; robust control; vehicle dynamics; AHVs; NDOBC; adaptation law; aerodynamic uncertainties; air-breathing hypersonic vehicles; backstepping method; control law; disturbance estimates; modeling errors; nonlinear disturbance observer-based control approach; parameter uncertainties; robust adaptive tracking control method; strict-feedback form; system model; unknown disturbances; Adaptation models; Aerodynamics; Atmospheric modeling; Backstepping; Robustness; Vehicle dynamics; Vehicles; AHVs; Robust adaptive control; Tracking control;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852298