NN adaptive backstepping based aircraft reconfigurable control design

Author

Liu, Kai ; Zhu, Jihong ; Fan, Yong

Author_Institution

Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China

fYear

2011

fDate

21-25 June 2011

Firstpage

437

Lastpage

442

Abstract

Reconfigurable flight control could maintain the safety and performance of aircraft under failure or damage situation. In this paper, aircraft reconfigurable control is designed using NN based adaptive backstepping method. Backstepping is used to build the baseline control law. The model changes due to failures or damage are considered as modeling errors and identified online using B-spline neural networks. Closed-loop stability is guaranteed through the backstepping design and update laws of the network weights. The requirement for aircraft model under which the reconfiguration is realizable is given. Based on this, the feasibility of control reconfiguration is analyzed. Simulation results show the effectiveness of the control law.

Keywords

adaptive control; aircraft control; closed loop systems; neurocontrollers; stability; B-spline neural networks; NN adaptive backstepping method; aircraft reconfigurable flight control design; closed-loop stability; Adaptation models; Adaptive systems; Aerospace control; Aircraft; Aircraft manufacture; Atmospheric modeling; Backstepping; adaptive backstepping; neural network; reconfigurable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2011 9th World Congress on

Conference_Location

Taipei

Print_ISBN

978-1-61284-698-9

Type

conf

DOI

10.1109/WCICA.2011.5970551

Filename

5970551