Trajectory Optimization of Two Cooperative Aircrafts Based on RHC

被引:0
作者
Xu an [1 ,2 ]
Zhou De-yun [1 ]
Li You [2 ]
Gao Chun-qing [2 ]
机构
[1] Northwestern Polytech Univ, Sch Elect & Informat, Xian 710072, Peoples R China
[2] Air Force Engn Univ, Aeronaut & Astronaut Coll, Xian 710038, Peoples R China
来源
PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年
关键词
air combat decision; trajectory optimization; receding horizon control; nonlinear programming (NLP);
D O I
10.1109/ccdc.2019.8833134
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Trajectory optimization problem of two cooperative aircrafts in cooperative tactical engagement maneuvering is studied. The optimization problem of air combat for two aircrafts is established based on the analysis of vertical tactical engagement and three different performance measures and terminal constraints are proposed. The receding horizon control (RHC) model and the numerical solution based on simpson-direct-collocation is put forward. In order to improve the online performance, a BP neural network based approximation of the performance measures is proposed. Finally, a simulation shows that this method is feasible for trajectory optimization in cooperative air combat.
引用
收藏
页码:576 / 580
页数:5
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