Numerical Study on Dynamic Stabilities Prediction in a Small Unmanned Aerial Vehicle

Arif Wahjudi*, Adi Susanto

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationRecent Advances in Mechanical Engineering - Select Proceedings of ICOME 2021
EditorsIvan Tolj, M.V. Reddy, Achmad Syaifudin
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages8
ISBN (Print)9789811908668
Publication statusPublished - 2023
Event5th International Conference on Mechanical Engineering, ICOME 2021 - Virtual, Online
Duration: 25 Aug 202126 Aug 2021

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364


Conference5th International Conference on Mechanical Engineering, ICOME 2021
CityVirtual, Online


  • Artificial neural network
  • Dihedral angle
  • Dutch roll
  • Short period
  • Tip-Twist angle


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