Application of Pigeon Swarm Optimization Algorithm in Multi UAV Trajectory Planning
In order to optimize the collaborative flight and trajectory planning of multiple unmanned aerial vehicle formations,this article introduces the process of establishing a model for multiple unmanned aerial vehicle formations and analyzes in detail the method of setting environmental constraints for trajectory planning.On this basis,a multi UAV collaborative optimization strategy based on pigeon swarm optimization algorithm is proposed.This strategy simulates the flight and nest seeking behavior of pigeon swarms to achieve collaborative flight and trajectory planning of UAV formations.In addition,this article also explores the importance of collaborative collision detection among multiple drones in space to ensure the safety of drones during flight.The research results indicate that the multi UAV collaborative optimization method based on pigeon swarm optimization algorithm can effectively improve the global search ability of trajectory planning,reduce the situation of falling into local optima,reduce computational complexity,improve algorithm efficiency,and provide an effective solution for the collaborative flight of UAV formations.
万方数据
维普
