Volume 37, Number 4, August 2019
|Page(s)||656 - 663|
|Published online||23 September 2019|
Adaptive Wing Morphing Strategy and Flight Control Method of a Morphing Aircraft Based on Reinforcement Learning
School of Astronautics, Northwestern Polytechnical University, Xi’an 710072, China
2 Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China
The morphing aircraft can change different wing shapes or geometries to achieve the optimal flight performance according to various mission scenarios. In this paper, DATCOM is used to calculate aerodynamic parameters based on Firebee UAV morphing aircraft with different wing configurations and analyze aerodynamic characteristics. A novel adaptive wing morphing strategy for morphing aircraft based on reinforcement learning method is proposed. This method can highly meet the demand of keeping optimal performance in multiple flight conditions, and the adaptive wing morphing strategy, three-loop normal load altitude controller and sliding mode velocity controller can together make sure stability of morphing aircraft during morphing process with good tracking performance.
Key words: morphing aircraft / longitudinal model / reinforcement learning / flight control
关键字 : 变体飞行器 / 纵向模型 / 增强学习 / 飞行控制
© 2019 Journal of Northwestern Polytechnical University. All rights reserved.
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