Design and Evaluation of a Realtime, Microcontroller Based Gust Sensing System for a Small Unmanned Aerial Vehicle

Martin, Ingo; Ben, Charles Lukasch; Moormann, Dieter; Voget, Nicolai

doi:10.2514/6.2017-3235

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…This indicates that the ANN was able to cope with the noise in the unsteady pressure signals to extract a reasonable approximation of the AoA. Previous studies with pressure ports mounted on the aircraft nose cone have been able to estimate AoA in the post-stall region [21][22][23], but studies with wing mounted ports have not explored this region in the context of estimating the AoA based on the unsteady signals using an ANN. These results indicate that wing mounted pressure ports may be able to be used to give a useful estimate of AoA even once the wing has stalled.…”

Section: A Aoa and V Estimationmentioning

confidence: 97%

Distributed Pressure Sensing–Based Flight Control for Small Fixed-Wing Unmanned Aerial Systems

Wood

Araujo-Estrada

Richardson

et al. 2019

Journal of Aircraft

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Small fixed-wing Unmanned Aerial Systems (UAS) might require increased agility when operating in turbulent wind fields. In these conditions, conventional sensor suites could be augmented with additional flow-sensing to extend the aircraft's usable flight envelope. Inspired by distributed sensor arrays in biological systems, a UAS with a chord-wise array of pressure sensors was developed. Wind-tunnel testing characterised these sensors alongside a conventional airspeed sensor and an angle-of-attack (AoA) vane, and showed a single pressure measurement gave a linear response to AoA pre-stall. Flight tests initially manually piloted the vehicle through pitching manoeuvres, then in a series of automated manoeuvres based on closed-loop feedback using an estimate of AoA from the single pressure port. The AoA estimate was successfully used to control the attitude of the aircraft. An Artificial Neural Network (ANN) was trained to estimate the AoA and airspeed using all pressure ports in the array, and validated using flight-trial data. The ANN more accurately estimated the AoA over a single port method with good robustness to stall and unsteady flow. Distributed flow sensors could be used to supplement conventional flight control systems, providing enhanced information about wing flow conditions with application to systems with highly flexible or morphing wings.

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Section: A Aoa and V Estimationmentioning

confidence: 97%

Distributed Pressure Sensing–Based Flight Control for Small Fixed-Wing Unmanned Aerial Systems

Wood

Araujo-Estrada

Richardson

et al. 2019

Journal of Aircraft

View full text Add to dashboard Cite

show abstract

“…Based on a calibration data set from wind tunnel tests, which are illustrated in Fig. 5 as an example, a neural network was trained in [7], which maps the measured pressure information on the inflow. This makes it possible to provide the angle of attack and the angle of sideslip as well as the inflow velocity with a sampling rate of 1 kHz during flight operation.…”

Section: Detection With Fadsmentioning

confidence: 99%

“…In [7], a data set of measurements from the Hamburg Weather Mast has been examined with regard to the maximum angles of incidence at LARUS UAS. These explanations are supplemented here for the estimation of the actually occurring loads taking into account the vertical movements of the flying system by a dynamic observation, which was implemented with the help of a mass point simulation.…”

Section: Design Of the Gust Load Alleviationmentioning

confidence: 99%

LARUS: an unmanned aircraft for the support of maritime rescue missions under heavy weather conditions

2020

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In maritime emergencies, the time until arrival at the scene of an accident is a decisive factor for a successful rescue operation. In this context, the research project LARUS aims to support the rescue forces at sea with unmanned aerial systems and thus to optimize the rescue process. This refers on the one hand to the localization of potential accident sites and on the other hand to informing the rescuers about the situation on site as well as the provision of an efficient communication infrastructure. For this purpose, the UAS is equipped with various sensors and communication media. To ensure a seamless rescue procedure, the aircraft must be capable of operating even under severe weather conditions. In this regard, the Institute of Flight System Dynamics is currently investigating measures to reduce the gust loads to make the UAS robust against challenging weather conditions. The integration of the LARUS aerial system into airspace using an active collision avoidance system is also an important research aspect. In addition, the adaptation of flight control to the expanded requirements and influencing factors as well as the implementation of international SAR search strategies for flight guidance are also the subject of development work.

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Open-Cavity Fluid Flow as an Information Processing Medium

Vincent

Nelson

Großmann

et al. 2023

AIAA SCITECH 2023 Forum

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Design and Evaluation of a Realtime, Microcontroller Based Gust Sensing System for a Small Unmanned Aerial Vehicle

Cited by 4 publications

References 3 publications

Distributed Pressure Sensing–Based Flight Control for Small Fixed-Wing Unmanned Aerial Systems

Distributed Pressure Sensing–Based Flight Control for Small Fixed-Wing Unmanned Aerial Systems

LARUS: an unmanned aircraft for the support of maritime rescue missions under heavy weather conditions

Open-Cavity Fluid Flow as an Information Processing Medium

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