舰载机典型调运方案推演与时序优化

郑茂1，颜世伟*2，初秀民1，邹运其3，谢朔1

1武汉理工大学国家水运安全工程技术研究中心，湖北武汉 430070 2中国人民解放军 92942 部队，北京 100161 3长江航道局，湖北武汉 430014

摘 要:［目的］为提高舰载机甲板调运效率，开展舰载机调运路径与时序的快速规划研究。［方法］建立一种基于网络拓扑结构的调运路径快速规划方法，引入舰载机运动模型和轨迹跟踪控制方法，建立仿真推演模型。以典型出动回收作业为例探讨舰载机调运约束条件、调运原则以及优化目标，提出一种调运时序快速优化方法。［结果］仿真推演结果显示，优化算法可提高多台弹射器作业进程的并行度，优化后的调运方案与 1997年美军高强度演习数据接近。［结论］运用所提出的方法可快速获得真实合理的舰载机甲板调运方案，对于舰载机出动回收能力研究、调运方案辅助决策具有参考价值。关键词：舰载机；运动模型；仿真；路径规划；时序优化中图分类号: U674.771文献标志码:A DOI：10.19693/j.issn.1673-3185.01945

Handling scheme simulation and scheduling optimization for carrier-borne aircraft

ZHENG Mao1, YAN Shiwei*2, CHU Xiumin1, ZOU Yunqi3, XIE Shuo1

1 National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430070, China 2 The 92942 Unit of PLA, Beijing 100161, China 3 Changjiang Waterway Bureau, Wuhan 430014, China

Abstract: ［Objectives］To improve the deck handling efficiency of carrier-borne aircraft, a study of rapid handling routes and scheduling schemes is carried out.［Methods］A fast planning method of deck handling routes based on network topology is established, and a simulation model is developed on the basis of an aircraft kinematic model and line-of-sight control method. Taking typical launching and recovery operations as examples, the carrier-borne aircraft deck handling constraints, principles and optimization objectives are discussed, and a rapid optimization method for deck handling scheduling is proposed.［Results］The simulation results show that the optimized algorithm can significantly shorten the total deck handling time of aviation operations, and the performance of the optimized deck handling scheme is close to the US Navy Surge Operation data from 1997.［Conclusions ］ A reasonable carrier-borne aircraft deck handling scheme can be obtained quickly using the proposed method, which is of reference value for research into carrier-borne aircraft sortie capability and human-machine deck handling scheme decision-making. Key words: carrier-borne aircrafts；kinematic model；simulation；route planning；scheduling optimization