Empirical Correlations for Geometry Build-Up of Fixed Wing Unmanned Air Vehicles
- The results of a statistical investigation of 42 fixed-wing, small to medium sized (20 kg−1000 kg) reconnaissance unmanned air vehicles (UAVs) are presented. Regression analyses are used to identify correlations of the most relevant geometry dimensions with the UAV’s maximum take-off mass. The findings allow an empirical based geometry-build up for a complete unmanned aircraft by referring to its take-off mass only. This provides a bridge between very early design stages (initial sizing) and the later determination of shapes and dimensions. The correlations might be integrated into a UAV sizing environment and allow designers to implement more sophisticated drag and weight estimation methods in this process. Additional information on correlation factors for a rough drag estimation methodology indicate how this technique can significantly enhance the accuracy of early design iterations.
| Author: | Falk GöttenORCiD, Felix FingerORCiD, Carsten BraunORCiD, Marc Havermann, Cees Bil, Francisco Gomez |
|---|---|
| DOI: | https://doi.org/10.1007/978-981-13-3305-7_109 |
| ISBN: | 978-981-13-3305-7 |
| Parent Title (English): | APISAT 2018: The Proceedings of the 2018 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2018) |
| Publisher: | Springer |
| Place of publication: | Singapore |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2019 |
| Tag: | Correlations; Drag; Geometry; Statistics; Unmanned Air Vehicle |
| First Page: | 1365 |
| Last Page: | 1381 |
| Note: | APISAT 2018 - Asia-Pacific International Symposium on Aerospace Technology. 16-18 October 2018. Chengdu, China. Lecture Notes in Electrical Engineering (LNEE, volume 459) |
| Link: | https://doi.org/10.1007/978-981-13-3305-7_109 |
| Zugriffsart: | campus |
| Institutes: | FH Aachen / ECSM European Center for Sustainable Mobility |
| FH Aachen / Fachbereich Luft- und Raumfahrttechnik |
