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Adaptive morphing control method for variable-sweep aircraft based on deep reinforcement learning

delete2026-04-04
delete0
PRE
AI
D
Dongqiang Xu
Y
Yanping Song
F
Fu Chen *
俞
俞建阳 (Jianyang Yu)
DOI：10.1016/j.ast.2026.112293delete
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摘要

摘要

En 中文
• 提出了一种基于深度强化学习的自适应变形控制框架。 • 开发了一种基于DNN的气动代理模型以加速训练过程。 • 代理实现了主动流动感知以有效管理瞬态气动载荷。 • 通过高保真度URANS的闭环验证证明了控制策略的鲁棒性。
Keyword:
Deep Reinforcement Learning
Adaptive Morphing Control
Aerodynamic Surrogate Model
Flow Perception
Variable-Sweep Aircraft

期刊

Aerospace Science and Technology 封面图
Aerospace Science and Technology
IF:
5.8
论文数:
1.0W
被引数:
3.0W

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