飞行器参考航迹规划方法研究

Study on Reference Route Planning Method for Aircraft

研究飞行器参考航迹规划优化控制问题,飞行器受到飞行达时间、油耗、威胁和地形环境等因素影响,传统的依靠飞行员的视觉效应,达不到优化的要求,同时飞行航迹实时性差。为了找到最优飞行器参考航迹,在分析当前飞行器航迹规划算法存在问题基础上,提出一种改进遗传算法的航迹规划方案。采用遗传算法对飞行器参考航迹进行全局搜索,快速找到全局最优解区域,并在全局最优区域通过模拟退火算法进行局部搜索,得到最优航迹。仿真结果表明,改进遗传算法能够快速找到最优参考航迹,能很好满足在线实时航迹规划的要求,是一种比较理想的飞行器参考航迹规划算法。

The reference route planning for aircraft is studied in this paper in order to find the optimal aircraft reference route planning.The current route planning algorithms have some problems,and an improved genetic algorithm path planning was proposed in this paper.Firstly,genetic algorithm was adopted to search aircraft reference track globally and found the optimal solution area quickly,then obtained the optimal route by ocal searching in the global optimal areas with simulated annealing algorithm.The simulation results show that the improved genetic algorithm can quickly find optimal reference track and meet online real-time path planning requirements well.It is an ideal route planning algorithm.