Virtual sensor for fault detection and isolation in flight control systems - fuzzy modeling approach
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
- SourceAvailable from: Matthew B Rhudy
Conference Paper: Fusion of GPS and Redundant IMU Data for Attitude Estimation[Show abstract] [Hide abstract]
ABSTRACT: Attitude estimation using Global Positioning System/Inertial Navigation System (GPS/INS) was used as an example application to study three different methods of fusing redundant multi-sensor data used in the prediction stage of a nonlinear recursive filter. Experimental flight data were collected with an Unmanned Aerial Vehicle (UAV) containing GPS position and velocity calculations and four redundant Inertial Measurement Unit (IMU) sensors. Additionally, the aircraft roll and pitch angles were measured directly with a high-quality mechanical vertical gyroscope to be used as a 'truth' reference for evaluating attitude estimation performance. A simple formulation of GPS/INS sensor fusion using an Extended Kalman Filter (EKF) was used to calculate the results for this study. Each of the three presented fusion methods was shown to be effective in reducing the roll and pitch errors as compared to corresponding results using single IMU GPS/INS sensor fusion. Additionally, the fusion methods were shown to be effective in estimating roll and pitch angles without the aid of GPS (dead reckoning).AIAA Guidance Navigation and Control Conference, Minneapolis, MN; 08/2012
Dataset: UTM Paper
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ABSTRACT: In our daily lives we frequently come across with circumstances that we think of certain but in fact are not. Prediction of these circumstances in a systematic manner is possible only after making some assumptions. In a variety of social, economic and technical events uncertainty and therefore complexity is always present. It is possible to analyze those uncertainties within the context of the fuzzy logic theory developed by Zadeh. In this study we first summarize the fundamentals of the fuzzy logic theory and then give an application of the theory to a flight problem.