摘要
为了提高直升机和无人机联合搜救中的直升机释放无人机位置准确性,在已经选取待搜救点基础上,以搜救的费用最小为目标建立通航直升机释放无人机位置模型,考虑无人机的电池容量约束,同时考虑风、地形,以及无人机状态进行建模,求得选址结果;在求解算法上,运用改进二进制蝙蝠算法进行求解,根据结果验证改进的算法更优.
In order to improve the position accuracy of helicopter-released UAV in the joint search and rescue of helicopter and UAV,a navigation helicopter-released UAV position model was established based on the selected points to be searched and rescued,aiming at the minimum cost of search and rescue.Considering the battery capacity constraint of UAV,wind,terrain,and UAV state,the model was built,and the site selection result was obtained.On the solution algorithm,the improved binary bat algorithm was used to solve the problem.The results show that the improved algorithm is better.
作者
李松锐
张明
王蒙蒙
李伯权
裴正莹
LI Songrui;ZHANG Ming;WANG Mengmeng;LI Boquan;PEI Zhengying(College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)
出处
《武汉理工大学学报（交通科学与工程版）》
2022年第3期416-421,共6页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
南京航空航天大学研究生创新基地校开放基金(kfjj20200712)。
关键词
联合搜救
搜救费用最低
二进制蝙蝠算法
joint search and rescue
lowest search and rescue cost
binary bat algorithm
