21st Mediterranean Conference on Control and Automation 2013
DOI: 10.1109/med.2013.6608784
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Abstract: Abstract² Traditional approaches to sensor fault tolerance for flight control systems have been based on triple or quadruple physical redundancy. However, recent events have KLJKOLJKWHG WKH FULWLFDOLW\ RI ³FRPPRQ PRGH´ IDLOXUHV RQ WKH Air Data System (ADS). In fact, since the parameters of flight control laws are typically scheduled as a function of airspeed, incorrect readings from the ADS can lead to potentially catastrophic conditions. In this paper, we describe the evaluation of an analytical redundancy-ba… Show more

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Cited by 15 publications
(10 citation statements)
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“…The multilayer perceptron (MLP) approach reported standard deviation of airspeed estimation of error of 1.1525 m/s while the extended minimal resource allocating network (EMRAN) approach reported 1.0559 m/s. While these ANN approaches report higher accuracy than the proposed EKF approach, these [18], which is not the case for the EKF approach. In order to investigate the possible correlations between the different error sources, the sample correlation coefficient was calculated for each error statistic in Table IV.…”
Section: Comparison Of Airspeed and Attitude Estimation Resultsmentioning
confidence: 69%
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“…The multilayer perceptron (MLP) approach reported standard deviation of airspeed estimation of error of 1.1525 m/s while the extended minimal resource allocating network (EMRAN) approach reported 1.0559 m/s. While these ANN approaches report higher accuracy than the proposed EKF approach, these [18], which is not the case for the EKF approach. In order to investigate the possible correlations between the different error sources, the sample correlation coefficient was calculated for each error statistic in Table IV.…”
Section: Comparison Of Airspeed and Attitude Estimation Resultsmentioning
confidence: 69%
“…Note that the results in [11] were obtained through simulation only, which uses perfect knowledge of the aircraft model and sensor error characteristics thus representing an idealized case of performance because in real implementation there will be additional modeling uncertainties and real sensor errors. The two different ANN approaches in [18] used actual experimental flight data from the WVU YF-22. The multilayer perceptron (MLP) approach reported standard deviation of airspeed estimation of error of 1.1525 m/s while the extended minimal resource allocating network (EMRAN) approach reported 1.0559 m/s.…”
Section: Comparison Of Airspeed and Attitude Estimation Resultsmentioning
confidence: 99%
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“…Outputs of the estimators are exerted to replace the isolated faulty data by the SFDIA system at the last layer. A classic multilayer perceptron (MLP) [7] architecture is considered for each virtual-sensor implementation.…”
Section: A Estimation Layermentioning
confidence: 99%
“…Most FDI techniques for single UAVs that appear in the literature use model-based methods, which try to diagnose faults using the redundancy of some mathematical description of the system dynamics and sensors onboard the UAV. Model-based CL-FDI (component level) has been applied to general aircraft sensors and actuators [3,4] and also to unmanned aircraft [5], either fixed-wing UAVs [6,7] or helicopter UAVs [8][9][10]. On the other hand, cooperative FDI makes use of all the sensors available in the multi-UAV fleet for detecting the faults in any of the single UAVs.…”
Section: Introductionmentioning
confidence: 99%