2012
DOI: 10.1049/iet-cta.2010.0724
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Fault detection and identification of aircraft control surface using adaptive observer and input bias estimator

Abstract: A fault detection and isolation (FDI) algorithm is proposed for the stuck fault detection of an aircraft with multiple control surfaces. The proposed FDI approach is composed of an adaptive observer and a bias estimation algorithm. The adaptive observer is designed for the stuck fault detection of the control surfaces, and the bias estimation algorithm is used to estimate the stuck position of the corresponding control surface. The bias estimation algorithm is designed using an unscented Kalman filter. Non-lin… Show more

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Cited by 35 publications
(19 citation statements)
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References 31 publications
(39 reference statements)
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“…Α LC e Βδ (8) Suppose that the   , Α C is observable, using the bilinear quadratic adjustor method, the gain L can be obtained as follows: (10) Where the 0 Q is the positive semi-definite weighting matrix, 0 R is the positive definite weighting matrix. When δ tends to 0, the estimate error also is approaching 0.…”
Section: Augmented Observermentioning
confidence: 99%
“…Α LC e Βδ (8) Suppose that the   , Α C is observable, using the bilinear quadratic adjustor method, the gain L can be obtained as follows: (10) Where the 0 Q is the positive semi-definite weighting matrix, 0 R is the positive definite weighting matrix. When δ tends to 0, the estimate error also is approaching 0.…”
Section: Augmented Observermentioning
confidence: 99%
“…For the system with unknown parameters, an adaptive observer is proposed in , which considers the joint estimation of states and unknown parameters. This method have received lots of contribution both for linear systems and nonlinear systems . In the literature, the unknown parameters are assumed to be embedded either in state equations or in output equations.…”
Section: Fe For Ltpss With Mfsmentioning
confidence: 99%
“…The online fault estimation question was further pursued [16]. A nonlinear aircraft model with multiple control surfaces was considered and a fault detection and isolation (FDI) algorithm was proposed for the stuck fault detection.…”
Section: Introductionmentioning
confidence: 99%