基于蚁群算法的巡飞弹药飞行路径规划研究

Research on Flight Path Planning of Loitering Munition Based on Ant Colony Algorithm

针对巡飞弹药巡飞航迹规划算法设计以及作战任务想定,结合一种基于二维和三维数字地形的空间模型,提出基于自然界蚂蚁觅食的最短路径理论的航迹规划算法,实现巡飞弹药执行对既定作战区域定点威胁目标避障巡飞的航迹规划方案,对巡飞弹药已建立的环境中进行飞行模拟仿真和结果分析,验证了蚁群算法的正确性和有效性。

For loitering munition patrol flight trajectory path planning algorithm design and combat mission scenarios,combined with a space based on 2D and 3D digital terrain model,based on the nature of ants foraging path planning algorithm of the shor-test path theory,implement cruise missile threat to the established operational area designated objectives cruise flight path plan-ning of obstacle avoidance.The correctness and effectiveness of the ant colony algorithm are verified by the flight simulation and analysis of the patrolling missile in the established environment.