基于蚁群算法的无人机航路规划

Path Planning Based on the Ant Algorithm for a Reconnaissance UAV

为了提高无人机(UAV)作战任务的成功率,在敌方防御区域内执行攻击任务前必须规划设计出高效的无人机飞行航路,保证无人机能够以最小的被发现概率及可接受的航程到达目标点。针对这一问题,对新近发展的蚁群算法进行了讨论,提出了适用于航路规划的优化方法,并对无人机的攻击任务航路进行了仿真计算。仿真结果表明,该方法是一种有效的航路规划方法。

To improve the efficiency of the UAV's mission, the highly effective path the UAV will fly during the execution of the mission should be planned before the mission carrying out, which give a promise for the UAV to arrive at the target with a higher survivalbility and an acceptable path length. For this requirement, this paper presents a method based on the ant algorithm to plan the path. Simulation results preliminarily show that the optimal method has some good characteristic.