Title :
Lyapunov-based output feedback control of hypersonic vehicle
Author :
Haijing Xu ; Yingmin Jia
Author_Institution :
Seventh Res. Div. & the Dept. of Syst. & Control, Beihang Univ. (BUAA), Beijing, China
Abstract :
In this paper, an output feedback controller is designed for the longitudinal dynamics of a hypersonic vehicle, under the restriction that only partial information can be measured. The high gain observer (HGO) is utilized to estimate the signals for immeasurable derivatives of the vehicle´s velocity and altitude, and a radial basis neural network (RBNN) based feedforward function is designed to compensate for the model uncertainties. A Lyapunov-based comprehensive stability analysis of the closed-loop system is presented, and the proposed control law is proved to be yielding semi-global uniformly ultimately bounded, while keeping all the closed-loop signals bounded. Numerical simulation results are also presented to validate the control design.
Keywords :
Lyapunov methods; aircraft control; closed loop systems; control system synthesis; feedback; feedforward; neurocontrollers; observers; radial basis function networks; stability; vehicle dynamics; velocity control; HGO; Lyapunov-based comprehensive stability analysis; Lyapunov-based output feedback control; closed-loop signals; closed-loop system; control design; feedforward function; high gain observer; hypersonic vehicle; longitudinal dynamics; radial basis neural network; semiglobal uniformly ultimately bounded control law; vehicle altitude; vehicle velocity; Deformable models; Lead; Matrix decomposition; TV; High gain observer; Hypersonic vehicle; Output feedback control; Radial basis neural network;
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on
Print_ISBN :
978-1-4799-4720-1
DOI :
10.1109/CCIS.2014.7175738