多航空器自组织绕飞航迹优化理论研究

Theoretical Study on Self-organizing Flight Path Optimization for Multiple Aircraft

阐述为提高空域利用率,在保障飞行安全的前提下,提出多架航空器在指定空域内改航方法。将存在雷暴天气的空域进行地图栅格化,以改航路径最短、离危险天气足够安全距离等为约束条件,在遗传算法(GA)基础上引入自组织神经网络(SOM)方法,建立两架航空器改航航迹模型,在雷暴天气上风面进行改航,生成动态改航航迹。仿真结果显示,运用SOM-GA算法对改航航迹进行规划后,两架航空器能动态实时规划改航航迹,成功绕飞雷暴区域。

In order to improve the utilization rate of airspace, on the premise of ensuring flight safety, the method of rerouting multiple aircraft in the designated airspace was proposed. There will be a thunderstorm weather map rasterize airspace, to divert the shortest path, away from the dangerous weather enough safe distance as constraint conditions, Genetic algorithm(GA) is combined with selforganization(SOM) method, two aircraft divert track model is set up, in a thunderstorm weather to divert the upper hand, and generate dynamic navigation path instead. The simulation results show that the two aircraft can dynamically and in real time plan the rerouted track and successfully circumnavigate the thunderstorm area after the SOM-GA algorithm is used to plan the rerouted track.