학술논문
AI Based Flight Control for Autonomous UAV Swarms
Document Type
Conference
Author
Source
2018 International Conference on Computational Science and Computational Intelligence (CSCI) CSCI Computational Science and Computational Intelligence (CSCI), 2018 International Conference on. :1155-1160 Dec, 2018
Subject
Language
Abstract
Artificial intelligence (AI) based flight control algorithms can be successfully utilized to deploy a swarm of autonomous Unmanned Areal Vehicles (UAVs). In a swarm of autonomous UAVs operating as a mobile ad-hoc network (MANET), use of centralized control, pre-planned missions, synchronization of nodes and reliance on conditional procedures are not feasible We introduce near real-time AI based flight control algorithms for autonomous UAVs to position themselves over an area of interest. Each UAV uses only local neighbor information to advance the swarm toward a desired MANET topology. Simulation experiments in OPNET show that our algorithms can provide high percentage area coverage over a target, while requiring limited near neighbor communication. They are lightweight and power efficient, hence well-suited for military applications.