多无人机编队控制算法综述

Q2 Engineering
Hai T. Do, Hoang T. Hua, M. Nguyen, Cuong V. Nguyen, H. T. Nguyen, Hoa T. Nguyen, N. T. Nguyen
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引用次数: 25

摘要

无人驾驶飞行器(uav)已广泛应用于运输、数据收集、监控或跟踪物体等许多应用中。如今,许多任务都要求无人机在大范围内操作或在严格的时间内完成任务。使用单个无人机可能不满足性能要求,因为它的小尺寸和有限的电池。在这种情况下,多架无人机(uav)已经成为解决这些限制的有效措施。一组无人机协同工作可以提供比单独使用强大的无人机更高效、更经济的解决方案。为了更好地利用多无人机系统,编队无人机的控制是一个需要克服的关键挑战。因此,群体控制已成为一个活跃的研究课题,受到研究者的高度关注。人们对编队控制问题进行了广泛的研究,并提出了许多控制协议。本文综述了文献中对种群控制的深入研究。每种方法都基于不同的标准进行了研究,这突出了其独特的优点和缺点。为读者今后在编队控制领域的研究提供参考。最后,对研究中存在的挑战和研究方向进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Formation Control Algorithms for Multiple-UAVs: A Comprehensive Survey
Unmanned aerial vehicles (UAVs) have been widely deployed in many applications such as transportation, data collection, monitoring, or tracking objects. Nowadays, numerous missions require UAVs to operate in a large area or to complete missions in a stringent period of time. Using a single UAV may not meet the performance requirements because of its small size and limited battery. In this situation, multiple Unmanned Aerial Vehicles (UAVs) have emerged as an e ff ective measure that can address these limitations. A group of UAVs cooperatively working together could o ff er a solution that is more e ffi cient and economical than using a powerful UAV alone. To better utilizing the multiple-UAVs system, control of formation UAVs is a critical challenge that needs to overcome. Therefore, formation control has become an active research topic that gains great attention from researchers. Extensive research e ff orts have been dedicated to studying the formation control problem with numerous control protocols which have been proposed. This paper reviews the profound studies on formation control in literature. Each approach is investigated based on di ff erent criteria, which highlights its distinct merits and demerits. The comparison is provided to facilitate the readers in their future researches in the field of formation control. Finally, some open challenges and research directions are also discussed.
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来源期刊
CiteScore
4.00
自引率
0.00%
发文量
15
审稿时长
10 weeks
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