Research on Dynamic Allocation Method of Authority for Manned-Unmanned Cooperation

In order to meet the needs of modern complex battlefield environment and the adaptability and combat effectiveness of UAV formation in complex missions, in this paper, we focus on the dynamic allocation strategy of manned-unmanned based on BP neural network and Particle swarm optimization. Through the simulation experiment, the BP neural network explains about 77.7% of the variance on the training set, and has a good fitting effect. At the same time, the Particle swarm optimization has successfully found the optimal solution of the objective function. The superiority of these two algorithms in global search is proved, and they have potential in solving the problem of dynamic allocation of manned-unmanned coordinated power.