摘要
针对实际作战环境中的UAV航迹规划,提出一种基于改进遗传算法的UAV航迹规划方法;通过骨架化算法生成规划搜索空间,对规划搜索空间中的信息进行提取,求解出规划搜索空间中航迹点的杀伤概率;根据规划搜索空间中的信息,采用特殊的基因编码方式,使用遗传算法为UAV找到K条备选航迹,提高了航迹规划效率;根据设定的航迹选取原则,求出最优航迹并对其按不同步长进行平滑处理,最终得到满足UAV机动性要求的可飞航迹。
An improved genetic algorithm was proposed to solve the problem of UAV＇s path planning in actual battle field. First, the planned search space was generated by means of skeleton algorithm, the information of the search space was extracted,and the kill probability of path points in the search space was calculated out. Then,with the information of the planned search space and by using a special gene coding mode, K possible paths were obtained by using genetic algorithm. According to the rules of path selection, the optimal path was obtained, and was smoothed by using different step lengths. Eventually the optimal path was acquired, which can meet the safety and maneuverability requirement of UAV.
出处
《电光与控制》
北大核心
2012年第1期29-33,共5页
Electronics Optics & Control
基金
航空科学基金(20085169011)
