Unmanned aerial vehicle cluster collaborative target searching method imitating biological group negotiation behavior
A target search and drone technology, applied in the field of autonomous control of drones, can solve problems such as low real-time performance and poor adaptability, and achieve the effects of improving control capabilities, good coordination, and improving search efficiency
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[0093] The effectiveness of the method proposed by the present invention is verified below through a specific example of cooperative positioning of a swarm of unmanned aerial vehicles. The experimental computer is configured with Intel Core i7-7700HQ processor, 2.8Ghz main frequency, 8G memory, and the software is MATLAB 2018a version. The specific implementation process of the UAV swarm cooperative target search method imitating the negotiation behavior of the biological group is as follows: Figure 4 shown. Considering the existence of obstacles in the task scene, the coordinates of the inflection points of the four boundaries of the obstacles are: boundary 1-(50, 15), (50, 21), (75, 21), (75, 65), (81,65),(81,15);Boundary 2-(15,15),(21,15),(21,65),(15,65);Boundary 3-(35,65),(55 ,65),(55,59),(35,59), Boundary 4-(35,45),(55,45),(55,39),(35,39).
[0094] Step 1: Analysis of ant colony foraging behavior characteristics and optimization mechanism
[0095] As one of the key p...
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