학술논문

Image-Based Multi-UAV Tracking System in a Cluttered Environment
Document Type
Periodical
Source
IEEE Transactions on Control of Network Systems IEEE Trans. Control Netw. Syst. Control of Network Systems, IEEE Transactions on. 9(4):1863-1874 Dec, 2022
Subject
Communication, Networking and Broadcast Technologies
Robotics and Control Systems
Signal Processing and Analysis
Components, Circuits, Devices and Systems
Computing and Processing
Target tracking
Collision avoidance
Cameras
Safety
Maintenance engineering
Robot kinematics
Visualization
Autonomous aerial vehicles
Kalman filters
Estimation
tracking of moving targets
UAV
unscented Kalman filter
Language
ISSN
2325-5870
2372-2533
Abstract
A tracking controller for unmanned aerial vehicles (UAVs) is developed to track moving targets undergoing unknown translational and rotational motions. The main challenges are to control both the relative positions and angles between the target and the UAVs to within desired values, and to guarantee that the generated control inputs to the UAVs are feasible (i.e., within their motion capabilities). Moreover, the UAVs are controlled to ensure that the target always remains within the fields of view of their onboard cameras. To the best of our knowledge, this is the first work to apply multiple UAVs to cooperatively track a dynamic target while ensuring that the UAVs remain connected and that both occlusion and collisions are avoided. To achieve these control objectives, a designed controller solved based on the aforementioned tracking controller using quadratic programming can generate minimally invasive control actions to achieve occlusion avoidance and collision avoidance. Furthermore, control barrier functions (CBFs) with a distributed design are developed in order to reduce the amount of inter-UAV communication. Simulations were performed to assess the efficacy and performance of the developed CBF-based controller for the multi-UAV system in tracking a target.