摘要
针对不确定战场环境航迹规划问题进行了研究,提出一种基于概率表示的飞行器航迹规划方法。根据威胁源的存在概率函数、位置分布概率函数和静态威胁概率函数模型,建立不确定威胁源的威胁概率函数模型。将遗传算法运用到航迹规划中,并进行了仿真实验,仿真结果验证了模型及算法的有效性。
A flight path planning method based on probabilistic expression was proposed for uncertain combat environment. According to the models of threat presence probability function, threat distributing probability function and static threat probability function, a probabilistic function model of uncertain threat was established. Genetic algorithm was used in the path planning and simulation was made. The simulation result verifies the effectiveness of the model and the algorithm.
出处
《电光与控制》
北大核心
2013年第10期56-61,共6页
Electronics Optics & Control
基金
海军航空工程学院军事基金资助课题(HJHYJJ2012025)
关键词
航迹规划
不确定环境
概率分布
遗传算法
flight path planning
uncertain environment
probabilistic distribution
genetic algorithm