多无人机(UAV,Uninhabited Aerial Vehicle)协同目标分配问题是决定由哪些UAV攻击哪些目标,达到提高作战效能,减少攻击代价的目的.考虑UAV的差异、目标的差异及战场态势对目标分配的影响,建立了多机协同目标分配问题的数学模型.提出了基于多智能体(Agent)分布协同拍卖的动态目标分配算法,仿真结果和统计数据分析证明,算法能够给出具有很好的优化效果的分配方案,是一种动态的算法,能够在规定的时间或资源约束下得到满足一定优化需求的目标分配方案。
The multi-UAV (uninhabited aerial vehicle) cooperative target assignment problem is to decide which UAV attack which target so as to improve efficiency and reduce cost. The mathematic model for multi- UAV cooperative target assignment problem was built. Assigning targets in multi-UAVs, the model considered about effect of the battle field situation and differences in different UAVs and targets. A dynamic target assignment method based on multi-agent decentralized cooperative auction was presented. The simulation result and the statistical data demonstrate that the method can present assign schemes with good optimal objective function and the method is a kind of dynamic method which gets schemes with expected optimal effect under certain time or resource constraints.