Study on the UAV Trajectory Planning Route Based on the Particle Group Optimization Algorithm
Yaohui An, Ziqi Zhang, Wei Wu · 2022
In the development of modern society, unmanned aerial vehicle (UAV), as an important technical means of national reconnaissance and combat, must ensure the accuracy of the actual reconnaissance target. According to the current operation of UAVs, flight path planning for mission is an important technology for UAVs to realize autonomous flight and attack. Therefore, this paper proposes a path planning system based on particle swarm optimization (PSO) algorithm while studying the uav path planning problem. This method mainly uses particle swarm optimization algorithm, fully integrates the search algorithm and constraint conditions, and obtains the global optimal path on the basis of controlling the search scope. The final research results prove that the path planning based on particle swarm optimization algorithm can quickly complete the planning task and orderly meet the operational requirements. Therefore, the research on the path planning system based on particle swarm optimization algorithm has a positive impact on the development of modern UAV technology.