Cooperative Task Assignment For Multi-UAV Attack Mobile Targets

This paper proposes a system framework for solving the problem of multi-UAV cooperative task assignment for ground moving targets. For the combinatorial optimization model, it is solved by a new particle swarm optimization algorithm based on guidance mechanism(GMPSO). In the case of target movement, a method of the predicted meeting point is proposed to solve the problem that the moving point cannot be used as the target point of the track planning algorithm. Furthermore, an online re-planning track method is proposed. Additionally, the track planning in the UAV tracking mode is also considered. Finally, the simulation results show that compared with other algorithms, the proposed method can obtain the optimal task assignment plan, which improves the multi-UAV cooperative combat capability.

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