不确定环境下多无人机动态任务分配方法

Study on the Dynamic Task Assignment of Multi-UCAV under Dynamic Uncertain Environment

通过分析实际战场中的信息不确定性,提出了不确定信息条件下需要解决的多无人机任务分配问题。以目标价值收益、毁伤代价指标及航程代价指标的不确定信息为依据,建立基于区间信息环境下多无人机的任务分配模型,采用随机概率的多属性方案排序(Stochastic Multi-criteria Acceptability Analysis,SMAA)方法,给出不确定环境下多无人机动态任务分配求解方法,为解决不确定环境下多无人机任务分配问题提供了新思路。最后,进行了仿真试验,验证了该方法的可行性和有效性。

Analyzing the uncertain information of the actual battlefield,the problem of multi-combat aerial vehicle（UAV） task allocation in uncertain environment is presented.The model of multi-UAV task allocation is established in interval information environment based on the target value gains,target damage indicators and voyage costs indicators.The multi-UAV dynamic task allocation method is obtained under uncertain environment by SMAA.A new idea to solve the problem of multi-UCAV task allocation is provided.Finally,the feasibility and effectiveness of the method is verified by simulation.