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.
CITATION STYLE
Götten, F., Finger, D. F., Braun, C., Havermann, M., Bil, C., & Gómez, F. (2019). Empirical correlations for geometry build-up of fixed wing unmanned air vehicles. In Lecture Notes in Electrical Engineering (Vol. 459, pp. 1365–1381). Springer Verlag. https://doi.org/10.1007/978-981-13-3305-7_109
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