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Journal of Control Science and Engineering
Volume 2008, Article ID 274313, 18 pages
Research Article

Design and Analysis of Robust Fault Diagnosis Schemes for a Simulated Aircraft Model

1Department of Engineering, University of Ferrara, Via Saragat 1, Ferrara 44100, Italy
2Aerospace Engineering Faculty, University of Bologna, Via Fontanelle 40, Forlì 40136, Italy

Received 30 March 2007; Revised 27 September 2007; Accepted 20 December 2007

Academic Editor: Jakob Stoustrup

Copyright © 2008 M. Benini et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Several procedures for sensor fault detection and isolation (FDI) applied to a simulated model of a commercial aircraft are presented. The main contributions of the paper are related to the design and the optimisation of two FDI schemes based on a linear polynomial method (PM) and the nonlinear geometric approach (NLGA). The FDI strategies are applied to the aircraft model, characterised by tight-coupled longitudinal and lateral dynamics. The robustness and the reliability properties of the residual generators related to the considered FDI techniques are investigated and verified by simulating a general aircraft reference trajectory. Extensive simulations exploiting the Monte Carlo analysis tool are also used for assessing the overall performance capabilities of the developed FDI schemes, in the presence of turbulence, measurement, and model errors. Comparisons with other disturbance-decoupling methods for FDI based on neural networks (NNs) and unknown input kalman filter (UIKF) are finally reported.