Obstacle avoidance flight control method of UAV formation based on neural network adaptive PID

Abstract

According to the analysis of the research results of UAV formation must-rise path planning and intelligent control technology in recent years, scholars around the world began to use artificial intelligence technology theory for optimization and innovation, put forward a variety of scientific research and exploration topics, and achieved excellent research results. In this paper, based on the understanding of neural network adaptive PID and UAV cluster track planning, according to the accumulated experience of scientific research and technology achievements in recent years, in-depth discussion of the UAV formation obstacle avoidance flight control method based on neural network adaptive PID algorithm. The final experimental results show that the neural network adaptive PID algorithm can effectively control the UAV formation and truly realize the basic functions.