无人机任务规划研究  

Research on Unmanned Aerial Vehicle Mission Planning

作　　者：朱剑佑[1] 

机构地区：[1]中国人民解放军63961部队

出　　处：《无线电工程》2007年第12期56-58,共3页Radio Engineering

摘　　要：任务规划系统作为高科技技术已经引起了广泛的关注和应用。目前世界上一些主要国家都在研制任务规划系统。无人机飞行中合理的路线规划可以减小飞行时间、降低油耗,减小被敌方发现、攻击的可能,从而提高了完成任务的概率。介绍了无人机任务规划的基本概念,描述了无人机任务规划的基本功能、常用的规划算法,如代理方法、遗传算法和战场威胁源建模方法等,给出了基于VORONOI图的一种无人机任务规划技术方案。As a famous high technology in the world, Mission Planning System （MPS） has already attracted extensive attention and application. At the present, the dominating countries were developing the MPS and its speed is very quick. By choosing the best path during Unmanned Air Vehicle （UAV） flying, it is desired to travel the shortest path, since the path allows UAV to obtain the data swiftly,and minimize the flight time, thus minimizing the possibility of being shot down by enemy fire, as well as fuel consumption. This paper introduces the concept of Unmanned Aerial Vehicle Mission Planning, describes the functions of UAV Mission Planning and some algorithms （such as agent method, genetic algorithm and modeling of threat sources）, presents a VORONOI-diagram-based mission planning solution.

关 键 词：无人机 任务规划 规划算法 

分 类 号：V249[航空宇航科学与技术—飞行器设计] TP18[自动化与计算机技术—控制理论与控制工程]