USING DATA MINING TO ESTIMATE UNMANNED AERIAL VEHICLE BATTERY CONSUMPTION-Reference-Cited by-同舟云学术

USING DATA MINING TO ESTIMATE UNMANNED AERIAL VEHICLE BATTERY CONSUMPTION

Published:2024-06-28 Issue:2 Volume:2024 Page:35-44
ISSN:2658-6436
Container-title:Automation and modeling in design and management
language:en
Short-container-title:

Author:

Podvesovskiy Aleksandr¹,Lagerev Dmitriy¹,Filonov Alexander¹

Affiliation:

1. Bryansk State Technical University

Abstract

Assessing and predicting the dynamic flight performance of an unmanned aerial vehicle is associated with the complexity of constructing and applying strict mathematical models that take into account many heterogeneous parameters. The paper examines the problem of estimating the battery consumption of an unmanned aerial vehicle when flying along a given route, considering weather conditions and geospatial characteristics. An approach to its solution is proposed, based on clarifying the estimate obtained using an approximate dependence by finding the interval with the highest probability containing the actual flow value. To find the specified interval, it is proposed to use the binary classification method applying logistic regression models based on the training data set. A pipeline is built that combines the mechanisms of constructing, training, and applying the assessment model. Implementing this pipeline using the Loginom analytical platform, which is included in the Russian software register, is described. The features of preparing training data, as well as the results of teaching the model and checking it on the test data set are considered.

Publisher

Bryansk State Technical University BSTU

Reference15 articles.

1. Арзамасцев А.А., Крючков А.А. Математические модели для инженерных расчетов летательных аппаратов мультироторного типа (часть 1) // Вестник Тамбовского университета. Серия: Естественные и технические науки. – 2014. – Т. 19. – № 6. – С. 1821-1828., Arzamastsev A.A., Kryuchkov A.A. Mathematical Models for Engineering Calculations of Aircrafts of Multi-Rotor Type (Part 1). Tambov University Review. Series: Natural and Technical Sciences. 2014;19(6):1821-1828.

2. Арзамасцев А.А. Математические модели для инженерных расчетов летательных аппаратов мультироторного типа (часть 2). Задачи маршрутизации // Вестник Тамбовского университета. Серия: Естественные и технические науки. – 2015. – Т. 20. – № 2. – С. 465-468., Arzamastsev A.A. Mathematical Models for Engineer Calculations of Aircraft of Multi-Rotor Type (Part 2). The Aims of Routing. Tambov University Review. Series: Natural and Technical Sciences. 2015;20(2):465-468.

3. Курбанов Р.К. Алгоритм расчета времени полета беспилотного воздушного судна для проведения аэросъемки // Сельскохозяйственные машины и технологии. – 2023. – Т. 17. – № 1. – С. 35-40. DOI: 10.22314/2073-7599-2023-17-1-35-40., Kurbanov R.K. Algorithm for Calculating the Flight Time of an Unmanned Aerial Vehicle for Aerial Photography. Agricultural Machinery and Technologies. 2023;17(1):35-40. doi: 10.22314/2073-7599-2023-17-1-35-40.

4. Матюха С.В. Беспилотные авиационные системы в грузоперевозках // Транспортное дело Рос-сии. – 2022. – № 1. – С. 141-143., Matyukha S.V. Unmanned Aerial Systems in Cargo Transportation. Transport Business of Russia. 2022;1:141-143.

5. Захарова А.А., Кутахов В.П., Мещеряков Р.В., Подвесовский А.Г., Смолин А.Л. Моделирование задач транспортировки грузов в беспилотной авиационной транспортной системе // Авиакосмическое приборостроение. – 2023. – № 3. – С. 3-15., Zakharova A.A., Kutakhov V.P., Meshcheryakov R.V., Podvesovskiy A.G., Smolin A.L. Modeling Cargo Transportation Tasks in an Unmanned Air Transportation System. Aerospace Instrument-Making. 2023;3:3-15.