By Topic

Fault tolerant tracking control for Near Space Hypersonic Vehicle via neural network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Yufei Xu ; Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China ; Bin Jiang ; Zhifeng Gao

In this paper, a fault tolerant control (FTC) strategy is investigated for Near Space Hypersonic Vehicle (NSHV) based on neural network and adaptive backstepping design. Firstly, a radial basis function (RBF) neural network (NN) is used to approximate the nonlinear dynamics, a neural network observer is constructed to estimate the unknown system fault, the adaptive on-line parameter-updating laws are derived, and the stability of the state error dynamic is guaranteed. Then an adaptive backstepping based fault tolerant controller is designed for the faulty system. The asymptotical stability of the closed-loop system and uniform boundedness of the state tracking error are proved according to Lyapunov theorem. Finally, simulation results on the NSHV attitude dynamics demonstrate the effectiveness of the proposed scheme.

Published in:

Systems and Control in Aeronautics and Astronautics (ISSCAA), 2010 3rd International Symposium on

Date of Conference:

8-10 June 2010