在不确定条件下的战场环境中,实时有效的动态任务分配是多无人机顺利完成对地攻击任务的关键。文章基于拍卖机制原理提出了多无人机的动态任务分配算法,给出了算法流程,构建了收益计算函数,并对算法效率进行了分析。仿真试验表明所提出的算法同传统方法相比,大大减少了通信计算量,具有更好的实时性。 In the battlefield environment under uncertain conditions, the real-time and effective dynamic task allocation is the key to successfully completing the ground attack task for many UAVs. Based on the principle of auction mechanism, this paper presents a dynamic mission assignment algorithm for multi-UAVs. The algorithm flow is given, and the revenue calculation function is constructed. The algorithm efficiency is also analyzed. Simulation results show that compared with the traditional method, the proposed algorithm greatly reduces the amount of communication computation and has better real-time performance.