融合动态风险图和改进A*算法的动态改航规划  

Dynamic Diversion Planning Combining Dynamic Risk Map and Improved A*Algorithm

作　　者：李海[1] 郭水林 周晔 Li Hai;Guo Shuilin;Zhou Ye(Tianjin Key Lab for Advanced Signal Processing,Civil Aviation University of China,Tianjin 300300,China;AVIC Leihua Electronic Technology Research Institute,Wuxi 214063,China)

机构地区：[1]中国民航大学天津市智能信号与图像处理重点实验室,天津300300 [2]航空工业雷华电子技术研究所,江苏无锡214063

出　　处：《航空科学技术》2021年第5期61-71,共11页Aeronautical Science & Technology

基　　金：航空科学基金(20182067008)。

摘　　要：结合机载气象雷达探测信息,本文提出了一种融合动态风险图和改进A*算法的动态改航规划方法。该方法首先利用机载气象雷达的探测结果,将其进行离散化处理,建立一个定期更新的动态风险图,以此作为算法的仿真环境;然后,综合考虑了航迹长度、航迹偏离度和管制约束等因素来构造算法的代价函数,基于该代价函数进行航迹规划。同时,对A*算法的搜索方式进行了改进,并对规划后的航迹进行了平滑优化处理;最后,提出两种不同策略进行了仿真分析试验,试验结果验证了所提方法的有效性,并且适用于动态改航规划。Combining with airborne weather radar detection information,this paper proposes a dynamic diversion planning method which combines dynamic risk map and improved A*algorithm.Firstly,the detection results of airborne weather radar are discretized to establish a dynamic risk map which is updated regularly,which is used as the simulation environment of the algorithm.Secondly,the cost function of the algorithm is constructed by considering the track length,track deviation and control constraints etc.,the cost function is used for route planning.At the same time,the search method of A*algorithm is improved,and the planned track is smoothed and optimized.Finally,two different strategies are proposed to carry out simulation analysis experiments.The experimental results verify the effectiveness of the proposed method which is suitable for dynamic diversion planning.

关 键 词：机载气象雷达 风险图 A*算法 航迹平滑 动态改航 

分 类 号：V355[航空宇航科学与技术—人机与环境工程]