Fault diagnosis and recovery from structural failures (icing) in unmanned aerial vehicles

Tousi, M. M.; Khorasani, K.

doi:10.1109/systems.2009.4815816

Cited by 9 publications

(10 citation statements)

References 17 publications

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“…Further, icing may not form even though the potential exists, as such the detection of ice accretion is another relevant and important research topic for UAV operations. On that topic the work conducted in [8] should be mentioned for its relevance considering model-based detection of UAV icing, and [5], where ice-detection is based upon the heat-capacity of a carbon nanotube layer located on the surface of the aircraft.…”

Section: Icing and Icing Conditionsmentioning

confidence: 99%

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Carbon nanomaterial-based wing temperature control system for in-flight anti-icing and de-icing of unmanned aerial vehicles

Sørensen

Helland

Johansen

2015

2015 IEEE Aerospace Conference

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Abstract-Structural changes due to ice accretion are common causes for unmanned aerial vehicle incidents in Arctic regions. For fixed wing unmanned aerial vehicles (UAVs) the leading edge of airfoil surfaces is one of the primary surfaces exposed to these changes, causing a significant reduction in aerodynamic ability, i.e. decreasing lift and manoeuvrability, and increasing drag, weight, and consequently power consumption. Managing or altogether preventing ice accretion could potentially prevent icing related UAV incidents and increase the operability of UAVs.This paper addresses the issue of structural change, caused by ice accretion, on small UAVs by integrating a power control system and an electrically conductive carbon nano material based coating for temperature control of UAV airfoil surfaces. Performance assessment is achieved through extensive laboratory experiments, where various coating layouts have been investigated in various conditions, with temperatures ranging from +25 • to -25 • . The experimental setup consists of an Arduino microcontroller capable of controlling power delivery to the coating through feedback from thermocouples and a humidity sensor, sensing the surface temperature of the leading edge of the UAV wing and ambient humidity, respectively. Experiments reveal that a layout, where the coating covers the entire length of an wing is preferable, with the solution being highly capable of rapidly increasing the airfoil surface temperature (de-icing) when needed, and of maintaining an approximately constant airfoil surface temperature (anti-icing) when needed, all the while keeping power and energy consumption within weight and cost constraints imposed by the small scale of the UAV. The results represents a proof of concept by using an electrically conductive coating for de-icing and anti-icing of leading edge UAV airfoils.

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Section: Icing and Icing Conditionsmentioning

confidence: 99%

“…Another detection approach is model-based, where the accumulation of ice is detected as a structural fault, i.e. an unexpected degradation of aerodynamic capabilities as presented in [8].…”

Section: Functionalitymentioning

confidence: 99%

Carbon nanomaterial-based wing temperature control system for in-flight anti-icing and de-icing of unmanned aerial vehicles

Sørensen

Helland

Johansen

2015

2015 IEEE Aerospace Conference

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“…The study reveals that among the mentioned approaches, it is the H ∞ and the neural networks combined with Kalman filtering techniques that provide timely and more accurate icing indication. In [24] and [25] icing is diagnosed through an observer-based fault diagnosis technique that detects and estimates the percentage of ice present on the aircraft wing, relying on a linearised lateral model of the aircraft. In [4] the icing detection problem is cast in a multiple-model framework and based on a linearised longitudinal model of the aircraft.…”

Section: Introductionmentioning

confidence: 99%

Flight test results for autonomous icing protection solution for small unmanned aircraft

Sørensen

Johansen

2017

2017 International Conference on Unmanned Aircraft Systems (ICUAS)

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Abstract-The primary focus of the work presented in this paper is a proof-of-concept study of a novel electro-thermalbased autonomous icing protection solution (IPS) for small unmanned aircraft. The solution includes a central control unit, where several control algorithms, ensure temperature control of electro-thermal sources, applied to exposed aircraft surfaces. The solution includes three different control procedures (icing detection, anti-icing, and de-icing) that are validated through test flights conducted in Ny-Ålesund, Svalbard, Norway.

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“…The increasing trend of unmanned aerial vehicle (UAV) deployment for a variety of missions can mainly be attributed to the promise of reduced costs and reduced risk to human operators [1]. However, eliminating the function of pilot from unmanned aircraft and replacing it with completely autonomous flight control complicates a number of issues, such as vehicle reliability.…”

Section: Introductionmentioning

confidence: 99%

Fault classification and diagnostic system for unmanned aerial vehicle electrical networks based on hidden Markov models

Telford¹,

Galloway²

2015

IET Electrical Systems in Transportation

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In recent years there has been an increase in the number of unmanned aerial vehicle (UAV) applications intended for various missions in a variety of environments. The adoption of the more-electric aircraft has led to a greater emphasis on electrical power systems (EPS) for safe flight through an increased number of critical loads being sourced with electrical power. Despite extensive literature detailing the development of systems to detect UAV failures and enhance overall system reliability, few have focussed directly on the increasingly complex and dynamic EPS. This study outlines the development of a novel UAV EPS fault classification and diagnostic (FCD) system based on hidden Markov models (HMM) that will assist and improve EPS health management and control. The ability of the proposed FCD system to autonomously detect, classify and diagnose the severity of diverse EPS faults is validated with development of the system for NASA's advanced diagnostic and prognostic testbed (ADAPT), a representative UAV EPS system. EPS data from the ADAPT network was used to develop the FCD system and results described within this study show that a high classification and diagnostic accuracy can be achieved using the proposed system.

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Fault diagnosis and recovery from structural failures (icing) in unmanned aerial vehicles

Cited by 9 publications

References 17 publications

Carbon nanomaterial-based wing temperature control system for in-flight anti-icing and de-icing of unmanned aerial vehicles

Carbon nanomaterial-based wing temperature control system for in-flight anti-icing and de-icing of unmanned aerial vehicles

Flight test results for autonomous icing protection solution for small unmanned aircraft

Fault classification and diagnostic system for unmanned aerial vehicle electrical networks based on hidden Markov models

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