Research on PSO based multiple UAVs real-time task assignment
Lin Lin, Sun Qibo, Wang Shangguang, Yang Fangchun · 2013
Unmanned aerial vehicles (UAVs) have the capability of executing various missions. However, the capability of single UAV is limited. It may require multiple UAVs to form coalition and prosecute tasks cooperatively. So, multiple UAVs task assignment faces the problems of: (a) satisfy the heterogeneous resource requirement and (b) satisfy the task prosecution for real-time requirement. In this paper, a PSO based algorithm DCAA is proposed for UAVs task assignment. UAVs search for targets and try to form coalition when they find targets. Once formed, the coalition members will adjust their paths to prosecute the target simultaneously to induce maximum damage. The simulation results show that using the proposed algorithm, UAVs can complete mission in short time. And the mission completion percentage keeps at a high level. The proposed algorithm is suitable for real-time application.