摘要
针对传统无人机航路因适应度函数选择不当造成的规划混乱问题,文中在分析无人机(UAV)任务需求、威胁限制及平台运动要素的基础上,提出了基于改进操作算子的MAGA(Muti-Agent Ge⁃netic Algorithm)的算法模型。通过运用拓扑分割技术将巡航有效区域转化为A-H的8个目标任务点,利用计算机软件Matlab结合QT4算法对8个目标任务点覆盖情况进行研究。实验结果表明,改进MAGA算法相比于传统算法能有效覆盖E和D任务点,从而证明改进的MAGA算法在解决UAV最优路径选择问题上更具有合理性和鲁棒性。
Aiming at the planning confusion caused by the improper selection of the fitness function of the traditional UAV route,this paper proposes the MAGA(based on the improved operation operator)on the basis of analyzing the mission requirements of the Unmanned Aerial Vehicle(UAV),threat restrictions and platform motion elements.Through the use of topological segmentation technology,the cruise effective area is transformed into 8 target mission points of A-H,and the coverage of the 8 target mission points is studied using the computer software Matlab combined with the QT4 algorithm.The experimental results show that the improved MAGA algorithm can effectively cover the E and D task points compared with the traditional algorithm,which proves that the improved MAGA algorithm is more reasonable and robust in solving the UAV optimal path selection problem.
作者
朱代武
刘豪
陈泽晖
ZHU Daiwu;LIU Hao;CHEN Zehui(Library of Civil Aviation Flight University of China,Guanghan 618307,China;School of Air Traffic Management,Civil Aviation Flight University of China,Guanghan 618307,China)
出处
《电子设计工程》
2022年第15期99-103,108,共6页
Electronic Design Engineering
基金
中国民用航空飞行学院交通运输工程优势特色学科建设(D202103)。
