Distributed unmanned aerial vehicle cluster control system

Abstract

The invention discloses a distributed unmanned aerial vehicle cluster control system, and the system comprises a communication layer which comprises a flight control communication module, a ground station communication module and a node communication module, and is in communication with flight control, a ground station and a node; the basic control layer is in direct communication with the communication layer and is used for acquiring node data from the node communication module, local data from the flight control communication module and an instruction from the ground station communication module, the basic control layer comprises a target position updating module and a basic control module, and the target position is updated according to the local data and the instruction. The updated target position information is provided for the basic control module; the basic control module feeds back information to the flight control communication module; and the task control layer comprises a task position updating module which is used for receiving the node data and the local data, performing position updating and sending the updated task position to a target position updating module. According to the invention, the real-time performance of communication is ensured, and the broadband utilization rate is improved.

Description

technical field [0001] The present invention relates to the field of unmanned aerial vehicles. Specifically, the present invention relates to a distributed drone swarm control system. Background technique [0002] The application and development of drone swarms, especially for military applications, dates back to the early 1990s (Kelly 1994; Andrew et al. 2017; Condliffe 2017). Still, drone swarms are still in their infancy. As the technology develops and becomes more accessible, research, development, and integration efforts for drone swarms in broader and commercial applications are gaining traction. Notably, 300 drones developed by Intel were deployed as a coordinated light show for Super Bowl 51 as well as the 2018 Winter Olympics (Molina 2017). In addition to these examples, there have been other demonstrations of drone swarms, however, in most of the demonstrations, the level of autonomous operation was relatively low. [0003] In most cases, each individual UAV is...

AI Technical Summary

Problems solved by technology

Dynamic reconfiguration of drone swarm application routing is a challenging task that causes packet loss (Zhou et al., 2012; Bekmezci et al., 2013)

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