Fault accommodation for a class of nonlinear flight control systems

Author

Mao, Zehui ; Jiang, Bin ; Chowdhury, Fahmida

Author_Institution

Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut.

fYear

2006

fDate

19-21 Jan. 2006

Lastpage

763

Abstract

A fault accommodation method for a class of nonlinear flight control system which can be changed into output-feedback form is proposed using a neural-network-based adaptive observer. The system faults can be detected through the residual generated by the proposed observer, then the obtained estimation is used to reconfigure the control law to compensate the fault. The stability of system is guaranteed by Lyapunov theory. Simulation results of an aircraft example have verified the performance of the method

Keywords

Lyapunov methods; aerospace control; fault diagnosis; neural nets; nonlinear control systems; Lyapunov theory; fault accommodation method; neural-network-based adaptive observer; nonlinear flight control systems; output-feedback form; system faults; system stability; Adaptive control; Aerospace control; Aircraft; Control systems; Delay estimation; Fault detection; Fault tolerant systems; Nonlinear control systems; Observers; Programmable control; Neural network; adaptive observer; fault accommodation; flight control;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on

Conference_Location

Harbin

Print_ISBN

0-7803-9395-3

Type

conf

DOI

10.1109/ISSCAA.2006.1627441

Filename

1627441