A unified intelligent control strategy synthesizing multi-constrained guidance and avoidance penetration

被引：0
|
作者：
Sibo ZHAO [1 ]
Jianwen ZHU [1 ,2 ]
Weimin BAO [1 ,3 ]
Xiaoping LI [1 ]
机构：
[1] School of Aerospace Science and Technology, Xidian University
[2] College of Missile Engineering, Rocket Force University of Engineering
[3] China Aerospace Science and Technology
来源：
Science China(Information Sciences) | 2024年 / 07期
关键词：
D O I：
暂无
中图分类号：
V249.1 [飞行控制]; V448 [制导与控制]; TP273 [自动控制、自动控制系统];
学科分类号：
081105 ; 080201 ; 0835 ;
摘要：
<正>Satisfying various terminal constraints and achieving evasive flight in no-flying-zones (NFZs) are two important flight missions undertaken by high velocity vehicles. We studied an intelligent maneuvering guidance strategy using deep reinforcement learning (DRL) methods to achieve the coordination and unification of evasive flight and multi-constrained guidance with minimal energy loss.
引用
收藏
页码：329 / 330
页数：2
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