Hybrid Models for Situational Awareness of an Aerial Vehicle from Multimodal Sensing
| العنوان: | Hybrid Models for Situational Awareness of an Aerial Vehicle from Multimodal Sensing |
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| المؤلفون: | O. Tanay Topac, Sung Yeon Sara Ha, Xiyuan Chen, Lawren Gamble, Daniel Inman, Fu-Kuo Chang |
| المصدر: | AIAA Journal. 61:305-314 |
| بيانات النشر: | American Institute of Aeronautics and Astronautics (AIAA), 2023. |
| سنة النشر: | 2023 |
| مصطلحات موضوعية: | Aerospace Engineering |
| الوصف: | An integrated sensing system is presented for flight state awareness of fixed-wing aircraft. The hardware of the system consists of a lightweight and nonobtrusive sensor network that houses a multitude of piezoelectric and strain transducers in a distributed, large areal coverage setting. The sensor network is embedded onto the surface of a model morphing unmanned aerial vehicle wing with variable trailing edge camber. The data collected by the sensor network form the input of a set of physics and machine learning models that work in tandem to infer several state variables of flight in near real-time. Capabilities of the system are characterized via controlled wind tunnel experiments and presented through a custom interface that provides a side-by-side comparison of the ground truth, as captured by commercial sensors and video cameras, and predictions of the trained models. It is demonstrated that the system identifies safety-critical flight conditions with very high accuracy, paving the way for a novel aircraft instrumentation method that is lighter weight and more capable and reliable in certain aspects. |
| تدمد: | 1533-385X 0001-1452 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::8000e31e1930a547c6d5b30595b28c6f https://doi.org/10.2514/1.j061926 |
| رقم الأكسشن: | edsair.doi...........8000e31e1930a547c6d5b30595b28c6f |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 1533385X 00011452 |
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