@inproceedings{1236f2d2fb5e4990bcfaf62f25bb828b,
title = "Numerical Study on Dynamic Stabilities Prediction in a Small Unmanned Aerial Vehicle",
abstract = "In Unmanned Aerial Vehicle (UAV) developments, one of the demands is to design a UAV that has optimal dynamic stabilities. The implementation of a wing with appropriate geometries has a significant effect on the dynamic stabilities of UAVs. The aim of this study is to predict the dynamic stabilities of UAVs based on wing geometries. The wings geometries considered are dihedral and tip-twist angles, while the dynamic stabilities predicted are short periods and Dutch roll. Both dynamic stabilities were defined by the related eigenvalue which was obtained by XFLR5 numerical software. The relationships between wing geometries and dynamic stabilities were obtained using the Artificial Neural Network (ANN) method. Based on the ANN training, the eigenvalues of short period and Dutch rolls as the representation of the UAV dynamic stabilities can be predicted by using 2-9-3-1 and 2-6-5-1 of ANN structures, respectively, with the mean square error of 1.0712e–07 and 2.6170e–08, respectively.",
keywords = "Artificial neural network, Dihedral angle, Dutch roll, Short period, Tip-Twist angle",
author = "Arif Wahjudi and Adi Susanto",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 5th International Conference on Mechanical Engineering, ICOME 2021 ; Conference date: 25-08-2021 Through 26-08-2021",
year = "2023",
doi = "10.1007/978-981-19-0867-5_11",
language = "English",
isbn = "9789811908668",
series = "Lecture Notes in Mechanical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "90--97",
editor = "Ivan Tolj and M.V. Reddy and Achmad Syaifudin",
booktitle = "Recent Advances in Mechanical Engineering - Select Proceedings of ICOME 2021",
address = "Germany",
}