DocumentCode
3039777
Title
Fault detection in flight control systems based on the generalized variance of the Kalman filter innovation sequence
Author
Hajiyev, Chingiz M. ; Caliskan, Fikret
Author_Institution
Dept. of Aeronaut. Eng., Istanbul Tech. Univ., Turkey
Volume
1
fYear
1999
fDate
1999
Firstpage
109
Abstract
For multidimensional dynamic systems a sensor fault detection algorithm based on the confidence interval of the generalized variance of the Kalman filter innovation sequence, is presented. The longitudinal dynamics of an aircraft control system, as an example, is considered, and detection of the fault in the air velocity sensor affecting the covariance matrix of the Kalman filter is examined
Keywords
Kalman filters; aircraft control; covariance matrices; dynamics; fault diagnosis; filtering theory; multidimensional systems; sequences; Kalman filter innovation sequence; air velocity sensor; confidence interval; fault detection; flight control systems; generalized variance; longitudinal dynamics; multidimensional dynamic systems; Aerospace control; Aircraft navigation; Covariance matrix; Electrical fault detection; Fault detection; Kalman filters; Radio navigation; Sensor systems; Technological innovation; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1999. Proceedings of the 1999
Conference_Location
San Diego, CA
ISSN
0743-1619
Print_ISBN
0-7803-4990-3
Type
conf
DOI
10.1109/ACC.1999.782750
Filename
782750
Link To Document