Unmanned aerial vehicle cluster confrontation control method based on pigeon flock intelligent competitive learning
A technology of competitive learning and control method, which is applied in the field of unmanned aerial vehicle cluster confrontation control, to achieve the effect of improving solution speed and solution accuracy, improving efficiency and success rate, and strong real-time performance
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[0157] The effectiveness of the UAV swarm confrontation proposed by the present invention is verified below through specific examples. In this example, it is assumed that the red and blue drone clusters each have 30 drones, and one military base with high value. The combat objectives of both sides are to attack the enemy's military base and protect their own military base. The simulation environment of this example is intel i7-9750 processor, 2.60GHz main frequency, 8G memory, and the software is MATLAB 2019b version.
[0158] UAV swarm confrontation control method based on pigeon group intelligent competition learning, its realization process is as follows figure 2 As shown, the specific practical steps of this example are as follows:
[0159] Step 1: Initialize cluster confrontation environment settings
[0160] (1) Initialize the confrontation scene
[0161] The red military base is located at (0,0)m, and the initial position of the red drone cluster is randomly generat...
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