Automated System of Controlling Unmanned Aerial Vehicles Group Flight

Author:

Shmelova Tetiana1ORCID,Bondarev Dmitriy1ORCID

Affiliation:

1. National Aviation University, Ukraine

Abstract

In this chapter, the authors present a problem of a performance of unmanned aerial vehicles (UAVs) group flights for a solution of different tasks using criteria of efficiency (safety, regularity, efficiency, economy) and criteria of reliability (connectivity, structural redundancy, survivability, and compactness of connections; the relative distance between UAVs; centrality and periphery of UAVs in the group; the level of system centralizing; etc.). It used graph theory for quantitative estimation of effectiveness of UAVs group flight. It presented all types of UAVs connections in the group (a star, ring, tree, with a common tire, mixed, cellular, etc.). The algorithm for finding central drone repeater (CDR) in a group of the UAVs for sending a control signal to other UAVs in the group was obtained. Examples of for determining the central drone and of the optimal topology in a group of the UAVs in flight are presented.

Publisher

IGI Global

Reference30 articles.

1. Unmanned Aircraft Systems

2. Bondarev, D., Jafarzadeh, R., & Kozub, A. (2014). Effectiveness of Group Flight of Unmanned Aerial Vehicles. Systems of Information Processing, 6, 9-15.

3. Bondarev, D., Shmelova, T., & Kucherov, D. (2015). Models of group flights of unmanned aerial vehicles using Science and technology of the Air Forces of the Armed Forces of Ukraine. Scientific Periodicals, 3, 68-75.

4. Application of the UAV of US Armed Forces in Military Conflicts. Foreign Military;E.Chekunov;RE:view,2010

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Artificial Intelligence Methods and Applications in Aviation;Handbook of Research on AI Methods and Applications in Computer Engineering;2023-01-30

2. Method of controlling a group of unmanned aircraft for searching and destruction of objects using artificial intelligence elements;Mathematical Modeling and Computing;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3