27th Congress of International Council of the Aeronautical Sciences, 19 - 24 September 2010, Nice, France
Paper ICAS 2010-10.1.2

SIMULATION-BASED FILTERING APPROACHES FOR IN-FLIGHT MONITORING OF CONTROL SURFACES

C. Kappenberger, J. Christmann
DLR, Germany

Keywords: fault detection and isolation, sequential monte-carlo methods, particle filter, analytical redundancy

A model-based approach for detection of faults on control surfaces is presented. The implementation employing a 6-DOF air craft model is shown. The fault detection relies on estimating the unknown real states of control surfaces by a non-linear particle filter method. A comparison with a linear kalman filter is made

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