Research and Design of Distributed Avoidance Control System for Fixed Wing Drone Cluster Based on AI Technology
A fixed wing drone cluster is composed of multiple fixed wing drones that work together during flight missions.Com-pared to single drone,the fixed wing drone cluster has higher comprehensive performance and broader application prospects.Howev-er,there are many operational risks for fixed wing drones in harsh environments,such as obstacle collisions,adjacent drone colli-sions,etc.,the safety of drones is threatened.Therefore,a distributed avoidance control system for fixed wing unmanned aerial vehi-cle clusters based on AI technology is designed.The system hardware unit mainly includes the design units of AI visual sensor,Li-DAR sensor,controller,and wireless communication network.The above hardware devices provide the real-time environmental in-formation to control the drone's flight attitude and achieve the information sharing.Based on AI technology,the software module is used to calculate the position and attitude of drones,calculate the position of obstacles to achieve the shape perception,and complete the distributed avoidance control of the drone cluster.Through the collaborative operation of hardware and software,the distributed avoidance control of the fixed wing drone cluster is achieved.Experimental results show that by applying the design system,the ob-tained perception positions of the drones and obstacle are consistent with the actual positions,with a total path deviation of 4m,it is fully verified that the design system has better control performance.
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