Title :
Fault Detection and Isolation for Inertial Measurement Units
Author :
Bras, Sergio ; Rosa, P. ; Silvestre, Carlos ; Oliveira, P.
Author_Institution :
Lab. of Robot. & Syst. in Eng. & Sci. (LARSyS), Univ. Tec. de Lisboa, Lisbon, Portugal
Abstract :
This paper addresses the problem of Fault Detection and Isolation (FDI) for navigation systems equipped with sensors providing inertial measurements and vector observations. Two strategies are proposed. The first one takes advantage of existing hardware redundancy, providing sufficient conditions for the isolation of faults. The second approach exploits the analytical redundancy between the angular velocity measurements and the vector observations, by resorting to Set-Valued Observers (SVOs). The behavior of both strategies are illustrated in simulation.
Keywords :
aircraft navigation; angular measurement; fault diagnosis; inertial navigation; observers; velocity measurement; analytical redundancy; angular velocity measurement; fault detection; fault isolation; hardware redundancy; inertial measurement unit; navigation system; set-valued observer; vector observation; Angular velocity; Noise; Noise measurement; Redundancy; Sensor systems; Vectors;
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2012.6426831