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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。
Because of the influence of flight time, fuel consumption, threats and terrain environment, the traditional pilot-based visual effects can not meet the optimization requirements, and the real-time flight path is poor. In order to find the reference trajectory of the optimal vehicle, based on analyzing the existing problems of the aircraft trajectory planning algorithm, a trajectory planning scheme based on improved genetic algorithm is proposed. The genetic algorithm is used to search the reference trajectory of the aircraft globally to quickly find the global optimal solution region. Local search is performed by the simulated annealing algorithm in the global optimum region to obtain the optimal trajectory. Simulation results show that the improved genetic algorithm can quickly find the optimal reference track, which can meet the requirements of online real-time track planning well and is an ideal reference trajectory planning algorithm.