Research on UAV Obstacle Avoidance Based on Multi-angle Improved Gray Wolf Algorithm
Xintang Li, Xinrui Li · 2024
Aiming at the current problem of insufficient autonomous flight and obstacle avoidance ability of UAVs in complex environments and poor algorithm optimization effect. In this paper, a multi-angle improved Gray Wolf algorithm for UAV obstacle avoidance research is proposed, for the setup of customized maps and their obstacles, the GWO algorithm before and after the improvement are able to achieve the path finding optimization. And the shortest path optimized by the multi-angle improved Gray Wolf algorithm proposed in this paper for this map is improved by 11.83%, 11.59% and 43.59% respectively compared to the pre-improvement. At the same time, compared with the pre-improvement, the model proposed in this paper also only needs fewer iterations to find the shortest path, which proves the effectiveness of the model proposed in this paper.