Abstract
The combat tasks faced by UAVs are becoming more and more complex. Traditional single UAVs are limited by the constraints of platform load capacity, lightweight load, and insufficient low-power equipment, so it is difficult to complete complex tasks independently. Aiming at typical UAV collaborative confrontation application scenarios, this paper constructs a multi-agent-oriented cluster collaborative intelligent system architecture and establishes a swarm-oriented intelligent UAV cluster collaborative control algorithm. Moreover, this paper forms a simulation environment for UAV cluster collaborative confrontation and completes the design and implementation of the UAV cluster collaborative confrontation system based on swarm intelligence. In addition, this paper analyses the key technologies of the UAV cluster collaborative system with the support of the Internet of Things technology and verifies the performance of the system after constructing the corresponding system. The experimental results show that the system constructed in this paper is effective.
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No potential conflict of interest was reported by the author(s).
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Xu Jing
Xu Jing is a lecturer in the college of engineering of Xi'an International University. Graduated from Xi'an University of architecture and technology. Research Fields is Internet of things and cloud computing.