Title :
Adaptive neural control design for hypersonic aircraft using time scale separation
Author :
Daoxiang Gao ; Shixing Wang ; DunMin Lu
Author_Institution :
Sch. of Technol., Beijing Forestry Univ., Beijing, China
Abstract :
This paper presents the design of a neural adaptive flight control systems for the longitudinal dynamics of hypersonic vehicle. By considering the coupling between thrust and pitch moment, the proposed control strategy is derived from the solutions of a series of fast dynamical equations, which are designed by the combination of back-stepping control and time scale separation. The RBF neural networks are employed to approximate the unknown dynamics. Simulation results are included to show the effectiveness of the neural adaptive control method.
Keywords :
adaptive control; aircraft control; neurocontrollers; radial basis function networks; vehicle dynamics; RBF neural network; adaptive neural control design; backstepping control; control strategy; hypersonic aircraft; longitudinal vehicle dynamics; neural adaptive flight control system; pitch moment; radial basis function network; thrust moment; time scale separation; Aerodynamics; Aerospace control; Aircraft; Equations; Vectors; Vehicle dynamics; Vehicles; Adaptive Neural control; Back-stepping; Flight control; Hypersonic aircraft; Time scale separation;
Conference_Titel :
Unmanned Aircraft Systems (ICUAS), 2013 International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4799-0815-8
DOI :
10.1109/ICUAS.2013.6564792
