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

fYear

2013

fDate

28-31 May 2013

Firstpage

1037

Lastpage

1042

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Unmanned Aircraft Systems (ICUAS), 2013 International Conference on

Conference_Location

Atlanta, GA

Print_ISBN

978-1-4799-0815-8

Type

conf

DOI

10.1109/ICUAS.2013.6564792

Filename

6564792