基于蚁群算法的无人机航路规划辅助决策研究

Research About Decision Assistance of UAV Airway Planning Based On Ants Algorithm

分析了影响无人机航路规划的几种因素,研究了目标价值权重和威胁源威胁系数两个制约因素对航路规划的影响,并重点建立了地形与威胁源模型以及决策模型。利用蚁群算法进行了仿真,得到了航路规划图以及最优路径长度两个评判标准。仿真结果显示在同时存在多个不同价值的目标以及多个威胁源的情况下,各目标的价值权重和威胁系数将会对航路产生综合影响,需要决策者根据无人机的任务意图在飞行安全和任务效果之间进行取舍和平衡,从而在一定程度上为决策者提供辅助。

Many factors was analyzed, especially the limited effects of value target weight and threat raUo on routeting. Then, threat model and planning model were founded. Airway planning figure and length of optimizing way were simulated by ants-algo^hm. The results show that while there are many different tar- gets and different threats, integrated influence will be found by target value weight and threat ratio. The decision maker must balance the mission effect and plane safety. Then it can provide decision assistance to the decision maker