CEAS EuroGNC 2022
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Towards Stall Detection and Learning-Based Stall Prevention for Glider Aircraft
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Franziska Hein |
Research Associate, University of Stuttgart, Institute of Flight Mechanics and Control,70569, Stuttgart, Germany. | Stefan Notter |
Research Associate, University of Stuttgart, Institute of Flight Mechanics and Control,70569, Stuttgart, Germany. | Jan Axthelm |
Research Associate, University of Stuttgart, Institute of Flight Mechanics and Control,70569, Stuttgart, Germany. | Walter Fichter |
Professor, University of Stuttgart, Institute of Flight Mechanics and Control,70569, Stuttgart, Germany. |
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Abstract:
Glider pilots often struggle with the problem of stalling during the winch start, turning flight or final approach, which in most cases leads to serious or even fatal accidents. In general aviation, stall warning systems do exist, but they are not applicable and practical in all aircraft. On the one hand, the estimation of the angle of attack and the required measurement variables are not easy to obtain, and on the other hand, these systems often warn very early and are therefore considered rather annoying by some pilots. In the following work, two different types of angle of attack estimation approaches are presented, one of which does not require the measurement of aerodynamic parameters and thus can be installed easily in existing aircraft. Both methods are validated with test flight data. The estimation of the angle of attack is the most important part of stall detection, whereas stall prevention is realized by a controller algorithm. The difficulty is to intervene on time, but not too early, to prevent the stall. Therefore, the idea of a reinforcement learning approach is proposed, which learns to detect an imminent stall in time and intervene with minimal control effort.
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Keywords: Stall Detection; Envelop Protection; Stall Prediction; Stall Prevention; Anti Stall System; Reinforcement Learning |
View PDF CEAS-GNC-2022-005 |
Franziska Hein, Stefan Notter, Jan Axthelm, Walter Fichter: Towards Stall Detection and Learning-Based Stall Prevention for Glider Aircraft. Proceedings of the 2022 CEAS EuroGNC conference. Berlin, Germany. May 2022. CEAS-GNC-2022-005.
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BibTeX entry:
@Incollection{CEAS-GNC-2022-005,
authors = {Hein, Franziska and Notter, Stefan and Axthelm, Jan and Fichter, Walter},
title = {Towards Stall Detection and Learning-Based Stall Prevention for Glider Aircraft},
booktitle = {Proceedings of the 2022 {CEAS EuroGNC} conference},
address = {Berlin, Germany},
month = may,
year = {2022},
note = {CEAS-GNC-2022-005}
}
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