基于改进人工蜂群算法的无人机实时航迹规划

Real-time route planning of UAV based on improved ABC algorithm

为了适应现代战争战场环境的复杂性,针对所建立的突发威胁模型,提出了一种基于改进人工蜂群算法的无人机航迹规划方法,对无人机进行动态航迹寻优,并通过MATLAB进行了仿真验证。仿真结果表明,所设计的方法能够根据实时出现的威胁状况进行动态航迹规划、评价和选优,同时满足实时性要求。

In order to adapt to the complex nature of modern warfare battlefield environment,for the unexpected threat model established,a UAV flight route planning method based on improved artificial bee colony（ ABC） algorithm was put forward for optimization of dynamic trajectory of UAV. The method was simulated with MALTAB. Simulation results show that this method can be used to dynamically perform dynamic flight route planning,evaluation and optimization of the emerging threats based on real-time status,and it can meet the real-time requirements.