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...

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Main Authors: Fikret Caliskan, Youmin Zhang, N. Eva Wu, Jong-Yeob Shin
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2014/472395
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author Fikret Caliskan
Youmin Zhang
N. Eva Wu
Jong-Yeob Shin
author_facet Fikret Caliskan
Youmin Zhang
N. Eva Wu
Jong-Yeob Shin
author_sort Fikret Caliskan
collection DOAJ
description 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.
format Article
id doaj-art-da959bd7635848c398ea91a75a6828e6
institution Kabale University
issn 1687-5966
1687-5974
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series International Journal of Aerospace Engineering
spelling doaj-art-da959bd7635848c398ea91a75a6828e62025-02-03T05:54:07ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742014-01-01201410.1155/2014/472395472395Actuator Fault Diagnosis in a Boeing 747 Model via Adaptive Modified Two-Stage Kalman FilterFikret Caliskan0Youmin Zhang1N. Eva Wu2Jong-Yeob Shin3Department of Control Engineering, Istanbul Technical University, Maslak, 34469 Istanbul, TurkeyDepartment of Mechanical & Industrial Engineering, Concordia University, 1455 de Maisonneuve Boulevard W., Montreal, QC, H3G 1M8, CanadaDepartment of Electrical and Computer Engineering, Binghamton University (SUNY), Binghamton, NY 13902-6000, USAGulfstream Aerospace Corporation, Savannah, GA 31402-2206, USAAn 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.http://dx.doi.org/10.1155/2014/472395
spellingShingle Fikret Caliskan
Youmin Zhang
N. Eva Wu
Jong-Yeob Shin
Actuator Fault Diagnosis in a Boeing 747 Model via Adaptive Modified Two-Stage Kalman Filter
International Journal of Aerospace Engineering
title Actuator Fault Diagnosis in a Boeing 747 Model via Adaptive Modified Two-Stage Kalman Filter
title_full Actuator Fault Diagnosis in a Boeing 747 Model via Adaptive Modified Two-Stage Kalman Filter
title_fullStr Actuator Fault Diagnosis in a Boeing 747 Model via Adaptive Modified Two-Stage Kalman Filter
title_full_unstemmed Actuator Fault Diagnosis in a Boeing 747 Model via Adaptive Modified Two-Stage Kalman Filter
title_short Actuator Fault Diagnosis in a Boeing 747 Model via Adaptive Modified Two-Stage Kalman Filter
title_sort actuator fault diagnosis in a boeing 747 model via adaptive modified two stage kalman filter
url http://dx.doi.org/10.1155/2014/472395
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AT youminzhang actuatorfaultdiagnosisinaboeing747modelviaadaptivemodifiedtwostagekalmanfilter
AT nevawu actuatorfaultdiagnosisinaboeing747modelviaadaptivemodifiedtwostagekalmanfilter
AT jongyeobshin actuatorfaultdiagnosisinaboeing747modelviaadaptivemodifiedtwostagekalmanfilter