【作者】 王辉；

【导师】 胡晓阳；

【作者基本信息】 沈阳理工大学 ， 导航、制导与控制， 2021， 硕士

【摘要】 随着新时代军事科技的日新月异,智能算法、虚拟现实等技术的融入现代战争,以巡飞弹作为代表的灵巧弹药是智能化弹药技术和无人机技术等相结合的产物,针对于巡飞弹在作战任务中飞行轨迹,其航迹规划尤为重要。考虑到巡飞弹自身性能、战场区域威胁、作战任务需求等约束条件,规划出一条保证巡飞弹安全避障威胁抵达目的地执行作战任务的飞行轨迹显得尤为重要。本文对于巡飞弹航迹规划和智能算法中的关键技术问题进行了研究。针对航迹规划算法设计一种巡飞弹巡飞轨迹以及作战任务想定,结合对战场环境的分析,给出了一种基于三维数字地形的空间模型构造方法,然后针对巡飞弹飞行过程中的威胁目标构建等效空间模型,为航迹规划提供环境依据,实现避过敌方威胁、执行作战任务等战术要求。分别通过对遗传算法中交叉变异概率和蚁群算法中信息素更新、状态转移概率等关键技术问题进行改进,提出一种实现巡飞弹执行对既定作战区域定点威胁目标避障巡飞的航迹规划算法方案,仿真并分析了巡飞弹在所建立环境下的巡飞过程,验证改进算法的可行性。讨论了改进算法产生航迹优化巡飞策略的可行性,分析该问题模型下两种不同算法参数对航迹规划所产生的影响,得到最终结论:改进算法分别能够对巡飞弹在二维巡飞航迹解算时间和三维威胁目标避障得到有效改进。借助于MATLAB软件对巡飞弹在不同环境下进行航迹规划算法仿真,针对不同优化算法进行对比得出一条最适优化路径,验证了巡飞弹在该路径下巡飞的可行性。综上研究成果,规划出的路径可以为未来巡飞弹航迹规划提供技术性参考。更多还原

【Abstract】 The intelligent algorithms,virtual reality and other technologies have been integrated into modern warfare with the rapid development of military technology in the new era.Smart ammunition represented by loitering munitions is a combination of intelligent ammunition technology and drone technology.In combat missions,flight path planning is particularly important.Taking into account the constraints of the loitering munition’s own performance,battlefield threats,combat mission requirements,etc.,it is particularly important to plan a flight trajectory that ensures that the loitering munition can safely avoid obstacles and reach the destination for combat missions.This paper studies the key technical issues in the trajectory planning and intelligent algorithm of loitering munitions.According on the trajectory planning algorithm,design a loitering munition trajectory and combat mission scenario,combined with the analysis of the battlefield environment,a space model construction method based on 3D digital terrain is given,then construct an equivalent space model for the threat target during the flight of the loitering munition,provide an environmental basis for trajectory planning,and achieve tactical requirements such as avoiding enemy threats and performing combat missions.Respectively improve key technical issues such as cross mutation probability in genetic algorithm and the probability of pheromone update and state transition in ant colony algorithm,a trajectory planning algorithm is proposed to realize the obstacle avoidance patrol of the combat area with fixed-point threat targets by the loitering munition,simulate and analyze the patrol process of the patrol missile in the established environment to verify the feasibility of the improved algorithm.Discussed the feasibility of the trajectory optimization cruise strategy generated by the improved algorithm,analyzed the influence of the two different algorithm parameters on the trajectory planning under the problem model,and got the final conclusion: the improved algorithm can effectively improve the time of patrol flight trajectory calculation and the obstacle avoidance trajectory of threat targets.With the help of MATLAB software,the trajectory planning algorithm of the loitering munition is simulated in different environments,and different optimization algorithms are compared to obtain an optimal path to verify the feasibility of the loitering munition to patrol the path.Based on the above research results,the planned path can provide a technical reference for future loitering munition trajectory planning.更多还原