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UAV Swarm Control with Operator-Leader-Followers Approach
Swarm robotics is a complex domain within multi-robot systems that encompasses formation control, movement control, and interUAV communication. Coordinates task execution requires effctive swarm control, which relies on robust motion control algorithms and reliable data exchange mechanisms. In this work, we propose an operator-leaderfollowers approach for managing UAV swarms. It comprises the following components: centralized swarm control utilizing the Fixed Global Diffrence (FGD) algorithm for maintaining inter-UAV distances and facilitating communication; a follow-mode mechanism enabling followers to accurately track leader’s motion; and a point-by-point swarm flght path control system enhancing overall control accuracy. Implemented in the Robot Operating System (ROS) and validated in the Gazebo simulator, the algorithm’s performance is evaluated via the following simulation scenarios: Γ-shape, parabolic, and circular flght paths. The paper discusses experimental results in virtual environments of the Gazebo simulator and demonstrates achieved precision in terms of absolute error and root mean
square error (RMSE).