无线电工程

路径规划对无人机完成其侦察作战任务具有重要意义。针对多无人机飞行路径自动规划算法,从模型建立和算法设计2个方面对规划过程中的关键技术进行了详细分析。算法采用构造Voronoi多边形图的方法来进行路径规划。基于构建的战场环境V图,采用图论中的Dijkstra算法,对V图进行搜索得到初始航路并进行优化。经过分析仿真结果证明,该算法能对典型的多无人机飞行任务进行路径规划,并能满足多种约束条件,获取合理的规划结果。

The path planning plays an important role in the reconnaissance task of unmanned air vehicle( UAV). Aiming at auto flight path planning algorithm of multi-UAV,this paper analyzes the key technologies of modeling and algorithm design. The algorithm uses Voronoi diagram for path planning. Based on the constructed battlefield environment V diagram,the Dijkstra algorithm in graph theory is used for initial path search and optimization. The simulation results show that this algorithm can be used to plan flight path for a typical multi-UAV flight task,and adapt to multiple constraint conditions. At last,it is shown that reasonable results of path planning are obtained.