基于蚁群算法的无人机航迹规划技术及研究现状  

Research Status of Route Planning of UAV Based on Ant Colony Algorithm

作　　者：张斌 钱正祥[1] 

机构地区：[1]解放军陆军军官学院三系,安徽合肥230031

出　　处：《战术导弹技术》2012年第4期58-62,共5页Tactical Missile Technology

摘　　要：配置适当的算法是无人机航迹规划的关键技术之一。介绍了一种基于蚁群算法的无人机航迹规划技术的基本原理,并采用网格图建模,演示了无人机二维航迹规划问题的一般实现步骤。然后从改进算法、更换其它模型、多无人机航迹规划、动态航迹规划等四个方面探讨了基于蚁群算法的无人机航迹规划技术的研究现状,并指明了配置更完善的算法实现复杂条件下的实时航迹规划等问题是无人机航迹规划未来的主要研究方向。Appropriate algorithm is one of the key technologies which are used in the field of UAV route planning. The basic principle of UAV route planning technology which are based on ant colony algorithm is introduced, and demonstrates the general implemental steps of UAV 2-D path planning problem by using the grid figure modeling. Then through improving algorithm, changing models, multi-UAV route planning, dynamic path planning, the present research situation of UAV route planning is discussed based on ant colony algorithm, indicates that the direction of UAV route planning is more perfect algorithm and real-time path planning under complex conditions.

关 键 词：蚁群算法 航迹规划 现状 

分 类 号：V249[航空宇航科学与技术—飞行器设计]