An Autonomous Planning Method for UAV Based on Behavior-Conditional Model

Xu, Junqi; Guo, Qing; Xiao, Lei; Chen, Gang; Guan, Xin

doi:10.1109/iccsnt47585.2019.8962520

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Each UAV uses its own sensors to obtain information of the UAVs in its surrounding sensing range and moves according to these rules, and then a group behavior will be formed in the formation, as shown in Figure 24. The behavior-based strategy focuses on the coordination mechanism between various basic behaviors and efficient coordination mechanism between behaviors, that is, how to choose behaviors based on the information of its adjacent UAVs [127]. It is essentially a distributed control method and will not be affected by the scale of the UAV swarm.…”

Section: Behavior-based Approachmentioning

confidence: 99%

Formation control of unmanned aerial vehicle swarms: A comprehensive review

Ouyang

Cong

et al. 2022

Asian Journal of Control

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The unmanned aerial vehicle formation plays a crucial role in numerous applications, such as reconnaissance, agricultural plant protection, and electric power inspection. This paper provides a comprehensive review and analysis of the unmanned aerial vehicle swarm communication networks and formation control strategies. First, the most commonly used unmanned aerial vehicles are introduced and compared. Next, the entire process of the formation task, from the formation assignment to the formation transformation, is detailed described. At last, the widely adopted communication networks are analyzed, and the existing formation control strategies of the UAV swarm are compared, which shows that the distributed formation control is superior to the centralized method and is the future development trend.

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Section: Behavior-based Approachmentioning

confidence: 99%