A Distributed UAV Swarm Control System

Abstract

The invention discloses a distributed unmanned aerial vehicle cluster control system, comprising: a communication layer, including a flight control communication module, a ground station communication module and a node communication module, which communicate with the flight control, the ground station and the node respectively; The control layer, which communicates directly with the communication layer, is used to obtain the node data from the node communication module, the local data from the flight control communication module and the instructions from the ground station communication module. The basic control layer includes the target position update module and the basic control module. , update the target position according to local data and instructions, and provide the updated target position information to the basic control module; the basic control module feeds back information to the flight control communication module; the task control layer includes a task position update module for receiving nodes. data and local data, perform a location update, and send the updated mission location to the target location update module. The invention ensures the real-time performance of communication and improves the utilization rate of broadband.

Description

technical field [0001] The present invention relates to the field of unmanned aerial vehicles. Specifically, the present invention relates to a distributed unmanned aerial vehicle swarm control system. Background technique [0002] The application and development of UAV swarms, especially 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 wider and commercial applications are starting to gain traction. Notably, 300 drones developed by Intel were deployed as a coordinated light show for Super Bowl 51 and the 2018 Winter Olympics (Molina 2017). In addition to these examples, there are other demonstrations of drone swarms, however, in most demonstrations, the level of autonomous operation is relatively low. [0003] In most cases, each individual drone 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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