Deterministic-strategy-search-based algorithm for UAV cooperative path planning
The cooperative path planning technology of multi-UAV is crucial for UAV groups to break through defense and execute cooperative combat tasks.This article proposes a collaborative path planning algorithm for unmanned aerial vehicles(UAVs)based on multi-agent deterministic strategy search,targeting the task scenario of multiple UAVs breaking through enemy blockades for collaborative operations.Firstly,the unmanned maneuvering mechanics model,collaborative con-straints,and battlefield environmental threats involved in the unmanned aerial vehicle(UAV)coop-erative path planning problems are analyzed,and a multi UAVs cooperative path planning problem model is established.Subsequently,a UAV collaborative path planning algorithm under meeting and task conditions is designed based on the characteristics of the UAV collaborative path planning prob-lem.Based on the multi-agent deterministic strategy search algorithm,the network structure and joint state reward function are designed,and then a multi-UAV cooperative path planning algorithm under the task is given.The simulation results demonstrate that the effectiveness of the algorithm de-signed in this paper.
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