Autonomous Trajectory Planning Method for Stratospheric Airship Regional Station-Keeping Based on Deep Reinforcement Learning

The stratospheric airship, as a near-space vehicle, is increasingly utilized in scientific exploration and Earth observation due to its long endurance and regional observation capabilities. However, due to the complex characteristics of the stratospheric wind field environment, trajectory planning f...

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Bibliographic Details

Published in:	Aerospace
Main Authors:	Sitong Liu, Shuyu Zhou, Jinggang Miao, Hai Shang, Yuxuan Cui, Ying Lu
Format:	Article
Language:	English
Published:	MDPI AG 2024-09-01
Subjects:	trajectory planning stratospheric airship deep reinforcement learning proximal policy optimization (PPO) regional station-keeping
Online Access:	https://www.mdpi.com/2226-4310/11/9/753