Title :
SMAC-FDI: New active fault detection and isolation scheme with high computational efficiency
Author :
Ducard, Guillaume ; Geering, Hans P.
Author_Institution :
Inst. of Informatic, Signals & Syst. of Sophia Antipolis (I3S), Univ. of Nice Sophia Antipolis, Nice, France
Abstract :
This paper presents a new scheme for actuator fault detection and isolation (FDI) with application to actuator health monitoring on an aircraft. The Single Model Active Fault Detection and Isolation System (SMAC-FDI) efficiently detects and isolates a faulty actuator in a system. This method has a short response time and is robust against model uncertainties, sensor noise, external disturbances. The algorithm is computationally efficient. No sensor is needed to measure the position of an actuator. The method is illustrated on an small unmanned aircraft.
Keywords :
actuators; aircraft control; condition monitoring; fault diagnosis; mobile robots; remotely operated vehicles; SMAC-FDI; actuator health monitoring; single model active fault detection system; single model active fault isolation system; unmanned aircraft; Actuators; Aircraft; Computational modeling; Computer architecture; Covariance matrix; Fault detection; Noise;
Conference_Titel :
Control and Fault-Tolerant Systems (SysTol), 2010 Conference on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-8153-8
DOI :
10.1109/SYSTOL.2010.5675974