智能算法在航空高度层冲突解脱优化中的应用  

Application of Intelligent Algorithm in Flight Altitude Conflict Resolution Optimization

作　　者：赵浩迪 朱代武[1] ZHAO Haodi;ZHU Daiwu(China Civil Aviation Flight Academy,Sichuan 618300,China)

机构地区：[1]中国民用航空飞行学院,四川618300

出　　处：《电子技术（上海）》2022年第3期38-41,共4页Electronic Technology

基　　金：基于区域导航的目视飞行程序设计和批准指南研究课题(14002600100015J013)。

摘　　要：阐述为解决复杂空中态势,对战略高度层冲突解脱算法进行优化。将航空器相关性进行预处理,使得规划模型规模明显下降,从而改进和优化算法。以西南某空域为背景开展数字实验,对比优化前与优化后模型算量,优化后模型求解难度明显降低。In order to solve the complex air situation, the conflict resolution algorithm of strategic altitude is optimized. The aircraft correlation is preprocessed to significantly reduce the scale of the planning model, so as to improve and optimize the algorithm. A digital experiment was carried out against the background of an airspace in Southwest China. Compared with the calculation amount of the model before and after optimization, the difficulty of solving the model after optimization was significantly reduced.

关 键 词：算法优化 高度层 冲突解脱 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] V355[自动化与计算机技术—控制科学与工程]