三维战术训练空域规划方法研究  

Research on Planning Methods of 3D Tactical Training Airspace

作　　者：马嘉呈 姚登凯 赵顾颢[1] Ma Jiacheng;Yao Dengkai;Zhao Guhao(College of Air Traffic Control and Navigation, Air Force Engineering University, Xi’an 710051, China)

机构地区：[1]空军工程大学空管领航学院,西安710051

出　　处：《航空工程进展》2017年第4期375-380,400,共7页Advances in Aeronautical Science and Engineering

基　　金：国家社会科学基金军事学项目(16GJ004-264);国家空管科研课题(KGKT05140501)

摘　　要：三维战术训练空域规划是对空域的合理规划利用,人工排样已经无法保证空域的安全有效利用,寻找高效快速的算法对于提高空域利用率和训练效率具有重要意义。通过对空域规划的理论研究,结合空域特性,将整个空域划分为立方体单元,构建相应的训练空域规划模型;在此基础之上,利用改进的遗传算法来寻求最优方案,剔除了大量不可行解;通过实例仿真验证该空域规划模型的合理性和有效性。结果表明:该空域模型是合理和有效的,提高了空域规划的速度和准确度。The planning of3D tactical training airspace is to make good use of airspace.Artificial nesting cannot guarantee the efficient and safe use of airspace,so it is of important significance to find an efficient and fast algorithm to improve the efficiency of airspace utilization and training.Through the theoretical research of airspace planning and considering the attributes of airspace,the airspace is divided into several cubical units,based on which the training airspace planning model is constructed.An improved genetic algorithm is applied to find the optimal solution,while a lot of infeasible solutions are discarded.In the end,a simulation is performed to test the feasibility and effectiveness of the model proposed.Results show that the airspace model can improve the efficiency and accuracy of airspace planning,and it is reasonable and effective.

关 键 词：三维战术训练 空域安全 空域规划 遗传算法 排样优化 

分 类 号：V328.1[航空宇航科学与技术—人机与环境工程]