Actuator Fault Diagnosis in a Boeing 747 Model via Adaptive Modified Two-Stage Kalman Filter
An adaptive modified two-stage linear Kalman filtering algorithm is utilized to identify the loss of control effectiveness and the magnitude of low degree of stuck faults in a closed-loop nonlinear B747 aircraft. Control effectiveness factors and stuck magnitudes are used to quantify faults entering control systems through actuators. Pseudorandom excitation inputs are used to help distinguish partial loss and stuck faults. The partial loss and stuck faults in the stabilizer are isolated and identified successfully.
- Record URL:
-
Supplemental Notes:
- © 2014 Fikret Caliskan et al.
-
Authors:
- Caliskan, Fikret
- Zhang, Youmin
- Wu, N Eva
- Shin, Jong-Yeob
- Publication Date: 2014
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References;
- Pagination: Article ID 472395
-
Serial:
- International Journal of Aerospace Engineering
- Volume: 2014
- Publisher: Hindawi Publishing Corporation
- Serial URL: http://www.hindawi.com/journals/ijae
-
Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Actuators; Detection and identification systems; Fault monitoring; Flight control systems; Kalman filtering; Wide body aircraft
- Identifier Terms: Boeing 747 aircraft
- Subject Areas: Aviation; Vehicles and Equipment; I95: Vehicle Inspection;
Filing Info
- Accession Number: 01525429
- Record Type: Publication
- Files: TRIS
- Created Date: May 27 2014 9:41AM