Title :
Virtual sensor for fault detection and isolation in flight control systems - fuzzy modeling approach
Author :
Oosterom, Marcel ; Babuska, Robert
Author_Institution :
Control Eng. Lab., Delft Univ. of Technol., Netherlands
Abstract :
A virtual sensor for normal acceleration has been developed and implemented in the flight control system of a small commercial aircraft. The inputs of the virtual sensor are the consolidated outputs of dissimilar sensor signals. The virtual sensor is a fuzzy model of the Takagi-Sugeno type and it has been identified from simulated data, using a detailed, realistic Matlab/SimulinkTM model used by the aircraft manufacturer. This virtual sensor can be applied to identify a failed sensor in the case that only two real sensors are available and even to detect a failure of the last available sensor
Keywords :
aerospace computing; aircraft control; fault diagnosis; fuzzy logic; fuzzy set theory; sensors; virtual reality; Matlab; Simulink; Takagi-Sugeno model; commercial aircraft; fault detection; fault isolation; flight control systems; fuzzy logic; fuzzy modeling; virtual sensor; Aerospace control; Aerospace industry; Aircraft manufacture; Application software; Fault detection; Fuzzy control; Fuzzy systems; Laboratories; Mathematical model; Sensor systems;
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6638-7
DOI :
10.1109/CDC.2000.914204
