A fault detection and accommodation framework for dynamic systems with control effector failures

Author

Yang, Hao ; Jiang, Bin ; Wang, Jian Liang

Author_Institution

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

fYear

2006

fDate

19-21 Jan. 2006

Lastpage

1165

Abstract

This paper proposes a novel idea that classifies faults into two different kinds: serious fault and small fault, and treats them with different strategies respectively. A kind of artificial neural network (ANN) is proposed for detecting serious faults, and variable structure (VS) model following control is constructed for accommodating small faults. Moreover, the uncertainty case is investigated and the VS controller is modified. Simulation results of a remotely piloted aircraft with control effector failures illustrate the performance of the developed algorithm

Keywords

aircraft control; failure analysis; fault diagnosis; neural nets; variable structure systems; ANN; VS controller; VS model; accommodation framework; artificial neural network; control effector failures; dynamic systems; fault detection; remotely piloted aircraft; serious fault; small fault; variable structure model; Aerospace control; Aerospace simulation; Aircraft manufacture; Aircraft propulsion; Artificial neural networks; Control system synthesis; Control systems; Differential equations; Fault detection; Uncertainty;

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.2006.1627572

Filename

1627572