基于改进蚁群算法的无人机低空突防三维航迹规划  

Improved Ant Colony Algorithm Based 3D Route Planning for UAVs in Low-Altitude Penetration

作　　者：熊自明[1,2] 万刚[1] 吴本材[1] 

机构地区：[1]信息工程大学测绘学院,郑州450052 [2]中国人民解放军国际关系学院,南京210039

出　　处：《电光与控制》2011年第12期44-48,共5页Electronics Optics & Control

基　　金：国家自然科学基金项目(40971239)

摘　　要：探讨了无人机低空突防三维航迹规划中地形、威胁以及航迹代价评估等模型的建立方法。将蚁群算法引入无人机航迹规划,针对传统蚁群算法易出现停滞现象,引入偏航角对启发信息进行调整改进;建立优先搜索集,使蚁群算法更快速有效地搜索到最优航迹。仿真实验结果证明了该规划方法的效率。The approach for establishing the models of terrain, threats and route cost evaluation in route planning for UAVs in low-altitude penetration was studied. The ant colony algorithm was introduced into the UAV route planning. Since algorithm, the yaw angle was stagnation may appear during searching in use of traditional ant colony introduced in this paper to improve the heuristic information. The prior search set was established to make the ant colony algorithm more rapid and effective in searching the optimum route. The simulation result proved the efficiency of the planning method.

关 键 词：无人机 航迹规划 蚁群算法 低空突防 三维航迹 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计] TN956[电子电信—信号与信息处理]