用强化学习让滑翔弹自主精准追踪目标
Reinforcement Learning for Gliding Projectile Guidance and Control
- 采用强化学习构建控制策略，实现全轴向自主导航
- 在动态环境中实现高精度目标追踪，适用于固定翼飞行器
- 验证了强化学习在滑翔弹上的可行性，拓展其应用范围
本文提出一种适用于光学制导滑翔弹的控制律，采用创新的强化学习方法，旨在提升动态环境中的导航灵活性与自主性。该控制律使滑翔弹能够根据摄像头检测到的目标进行精确追踪，并实现高精度制导。该方法已在四旋翼无人机上成功应用，本研究旨在验证其在固定翼飞机全轴向控制中的适用性。
原文摘要 · Abstract (English)
This paper presents the development of a control law, which is intended to be implemented on an optical guided glider. This guiding law follows an innovative approach, the reinforcement learning. This control law is used to make navigation more flexible and autonomous in a dynamic environment. The final objective is to track a target detected with the camera and then guide the glider to this point with high precision. Already applied on quad-copter drones, we wish by this study to demonstrate the applicability of reinforcement learning for fixed-wing aircraft on all of its axis.
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