Improvement of the Control System for the Wing Performance of an Unmanned Aerial Vehicle

被引：0

作者：

Moiseev I.A. ^{[1
]}

Osintsev K.V. ^{[1
]}

Kuskarbekova S.I. ^{[1
]}

Ershov A.A. ^{[1
]}

机构：

[1] South Ural State University, pr. Lenina 76, Chelyabinsk

来源：

Russian Aeronautics | 2023年 / 66卷 / 03期

基金：

俄罗斯科学基金会;

关键词：

aerodynamics; high-lift devices; neural network; unmanned aerial vehicles;

D O I：

10.3103/S1068799823030091

中图分类号：

学科分类号：

摘要：

Abstract: This study focuses on solving the systemic technical and technological problem of using unmanned aerial vehicles. The paper presents the results of finite element modeling of NACA-0018 blades of various chords, as well as their configurations with flaps and spoilers. A neural network algorithm is proposed for predictive regulation of the wing shape for an unmanned aerial vehicle. The areas of application of the control system for the wing performance of unmanned aerial vehicles are given. © 2023, Allerton Press, Inc.

引用

页码：485 / 492

页数：7

共 13 条

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