In-flight fault detection and isolation in aircraft flight control systems

被引：0

作者：

Azam, Mohammad ^{[1
]}

Pattipati, Krishna ^{[1
]}

Allanach, Jeffrey ^{[1
]}

Poll, Scott ^{[1
]}

Patterson-Hine, Ann ^{[1
]}

机构：

[1] Univ Connecticut, Dept ECE, Storrs, CT 06269 USA

来源：

2005 IEEE Aerospace Conference, Vols 1-4 | 2005年

关键词：

neural flight controller; FDI; real-time decision fusion; wavelet transform;

D O I：

暂无

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

In this paper we consider the problem of test design for real-time fault detection and isolation (FDI) in the flight control system of fixed-wing aircraft. We focus on the faults that are manifested in the control surface elements (e.g., aileron, elevator, rudder and stabilizer) of an aircraft. For demonstration purposes, we restrict our focus on the faults belonging to nine basic fault classes. The diagnostic tests are performed on the features extracted from fifty monitored system parameters. The proposed tests are able to uniquely isolate each of the faults at almost all severity levels. A neural network-based flight control simulator, FLTZ, is used for the simulation of various faults in fixed-wing aircraft flight control systems for the purpose of FDI.

引用

页码：3555 / 3565

页数：11

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