Fault Diagnosis and Fault-Tolerant Control Strategy for the Aerosonde UAV

Bateman, François; Noura, Hassan; Ouladsine, Mustapha

doi:10.1109/taes.2011.5937287

Cited by 106 publications

(52 citation statements)

References 13 publications

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“…Faults on actuators limit the envelope within which stable flight is possible. Calculating the flight envelope through a linear matrix inequality problem formulation was pursued in [23] and [15]. With closed loop speed control along a track and attitude controller parameters being scaled by airspeed, erroneous airspeed input will limit the flight envelope, in particular when conducting sharp turns or other maneuvers.…”

Section: A Banshee Sensors and Actuatorsmentioning

confidence: 99%

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Diagnosis of Airspeed Measurement Faults for Unmanned Aerial Vehicles

Hansen

Blanke²

2014

IEEE Trans. Aerosp. Electron. Syst.

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Abstract-Airspeed sensor faults are common causes for incidents with unmanned aerial vehicles with pitot tube clogging or icing being the most common causes. Timely diagnosis of such faults or other artifacts in signals from airspeed sensing systems could potentially prevent crashes. This paper employs parameter adaptive estimators to provide analytical redundancies and a dedicated diagnosis scheme is designed. Robustness is investigated on sets of flight data to estimate distributions of test statistics. The result is robust diagnosis with adequate balance between false alarm rate and fault detectability.

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Section: A Banshee Sensors and Actuatorsmentioning

confidence: 99%

“…Extended Kalman filtering techniques were combined with diagnosis to obtain fault-tolerant control in [15] who also demonstrated detection of faults and degraded performance of actuators using both simulated and real flight data. The airspeed sensor problem was not dealt with in this literature.…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of Airspeed Measurement Faults for Unmanned Aerial Vehicles

Hansen

Blanke²

2014

IEEE Trans. Aerosp. Electron. Syst.

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“…In the literature there exists numerous approaches to fault detection and isolation (FDI) techniques applied for the detection and isolation of actuator and sensor faults on UAVs, see Bateman et al (2011), Ducard (2009), and Ducard and Geering (2008) for the former and for the later see Fravolini et al (2009). Detection of control surface defects was studied in Blanke and Hansen (2013), where fault parameter adaptation and fault diagnosis was attempted simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of Wing Icing Through Lift and Drag Coefficient Change Detection for Small

Sørensen

Blanke²,

Johansen

2015

IFAC-PapersOnLine

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This paper address the issue of structural change, caused by ice accretion, on UAVs by utilising a Neyman Pearson (NP) based statistical change detection approach, for the identification of structural changes of fixed wing UAV airfoils. A structural analysis is performed on the nonlinear aircraft system and residuals are generated, where a generalised likelihood ratio test is applied to detect faults. Numerical simulations demonstrate a robust detection with adequate balance between false alarm rate and sensitivity.

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“…For the case of control surface loss, estimation of the reduced flight envelope and active FD was dealt with by (Bateman et al, 2011). In (Henry et al, 2012), methods using linear parameter varying methods were shown to be efficient for this problem.…”

Section: Introductionmentioning

confidence: 99%

A Framework for Diagnosis of Critical Faults in Unmanned Aerial Vehicles

Hansen

Blanke

Adrian³

2014

IFAC Proceedings Volumes

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Unmanned Aerial Vehicles (UAVs) need a large degree of tolerance towards faults.If not diagnosed and handled in time, many types of faults can have catastrophic consequences if they occur during flight. Prognosis of faults is also valuable and so is the ability to distinguish the severity of the different faults in terms of both consequences and the frequency with which they appear. In this paper flight data from a fleet of UAVs is analysed with respect to certain faults and their frequency of appearance. Data is taken from a group of UAV's of the same type but with small differences in weight and handling due to different types of payloads and engines used. Categories of critical faults, that could and have caused UAV crashes are analysed and requirements to diagnosis are formulated. Faults in air system sensors and in control surfaces are given special attention. In a stochastic framework, and based on a large number of data logged during flights, diagnostic methods are employed to diagnose faults and the performance of these fault detectors are evaluated against flight data. The paper demonstrates a significant potential for reducing the risk of unplanned loss of remotely piloted vehicles used by the Danish Navy for target practice.

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Fault Diagnosis and Fault-Tolerant Control Strategy for the Aerosonde UAV

Cited by 106 publications

References 13 publications

Diagnosis of Airspeed Measurement Faults for Unmanned Aerial Vehicles

Diagnosis of Airspeed Measurement Faults for Unmanned Aerial Vehicles

Diagnosis of Wing Icing Through Lift and Drag Coefficient Change Detection for Small

A Framework for Diagnosis of Critical Faults in Unmanned Aerial Vehicles

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