UAV path planning based on improved particle swarm algorithm

As one of the key technologies to realize the autonomy of UAVs, path planning is one of the key issues in the field of UAVs. The results of the existing traditional algorithms for path planning are difficult to meet the increasingly complex environment and task requirements. Aiming at the shortcomings of traditional particle swarm algorithm, this research improves the weight and learning factor of particle swarm. The proposed new algorithm can efficiently plan autonomous paths for UAVs, thereby effectively improving the operating environment of UAVs and providing help for applications in related industries. Finally, this research was simulated by MATLAB software to verify the feasibility and effectiveness of the proposed algorithm.