Header menu link for other important links
PSO Algorithm in Quadcopter Cluster for Unified Trajectory Planning Using Wireless Ad Hoc Network
Published in Springer India
Volume: 397
Pages: 819 - 826

This paper is aimed at developing a swarm unmanned aerial vehicle (UAV) network for motion in free space controlled by an algorithm depending on axis-aligned minimum bounding space, and a collision is avoided by the use of a collision-free trajectory planning algorithm depending on the position of the UAVs by implementing the optimization technique named particle swarm optimization (PSO) algorithm for intelligent features. PSO is an algorithm where each quad has its own information and also combined information of the environment due to their interaction. Wireless network was used in swarm UAVs implementation to connect to a server processor that analyses the PSO equation and controls the quadcopters. This experiment includes 3 UAVs and one object as target (Stationary and Moving).

About the journal
JournalData powered by TypesetProceedings of the International Conference on Soft Computing Systems Advances in Intelligent Systems and Computing
PublisherData powered by TypesetSpringer India
Open Access0