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

fYear

2010

fDate

6-8 Oct. 2010

Firstpage

30

Lastpage

37

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Fault-Tolerant Systems (SysTol), 2010 Conference on

Conference_Location

Nice

Print_ISBN

978-1-4244-8153-8

Type

conf

DOI

10.1109/SYSTOL.2010.5675974

Filename

5675974