Adaptive Wing Morphing Strategy and Flight Control Method of a Morphing Aircraft Based on Reinforcement Learning
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 analy...
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The Northwestern Polytechnical University
2019-08-01
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doaj-f18cd8a05d08464c8f807b031a671b912021-05-02T20:24:21ZzhoThe Northwestern Polytechnical UniversityXibei Gongye Daxue Xuebao1000-27582609-71252019-08-0137465666310.1051/jnwpu/20193740656jnwpu2019374p656Adaptive Wing Morphing Strategy and Flight Control Method of a Morphing Aircraft Based on Reinforcement Learning0123School of Astronautics, Northwestern Polytechnical UniversityShanghai Electro-Mechanical Engineering InstituteSchool of Astronautics, Northwestern Polytechnical UniversitySchool of Astronautics, Northwestern Polytechnical UniversityThe 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.https://www.jnwpu.org/articles/jnwpu/full_html/2019/04/jnwpu2019374p656/jnwpu2019374p656.htmlmorphing aircraftlongitudinal modelreinforcement learningflight control |
collection |
DOAJ |
language |
zho |
format |
Article |
sources |
DOAJ |
title |
Adaptive Wing Morphing Strategy and Flight Control Method of a Morphing Aircraft Based on Reinforcement Learning |
spellingShingle |
Adaptive Wing Morphing Strategy and Flight Control Method of a Morphing Aircraft Based on Reinforcement Learning Xibei Gongye Daxue Xuebao morphing aircraft longitudinal model reinforcement learning flight control |
title_short |
Adaptive Wing Morphing Strategy and Flight Control Method of a Morphing Aircraft Based on Reinforcement Learning |
title_full |
Adaptive Wing Morphing Strategy and Flight Control Method of a Morphing Aircraft Based on Reinforcement Learning |
title_fullStr |
Adaptive Wing Morphing Strategy and Flight Control Method of a Morphing Aircraft Based on Reinforcement Learning |
title_full_unstemmed |
Adaptive Wing Morphing Strategy and Flight Control Method of a Morphing Aircraft Based on Reinforcement Learning |
title_sort |
adaptive wing morphing strategy and flight control method of a morphing aircraft based on reinforcement learning |
publisher |
The Northwestern Polytechnical University |
series |
Xibei Gongye Daxue Xuebao |
issn |
1000-2758 2609-7125 |
publishDate |
2019-08-01 |
description |
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. |
topic |
morphing aircraft longitudinal model reinforcement learning flight control |
url |
https://www.jnwpu.org/articles/jnwpu/full_html/2019/04/jnwpu2019374p656/jnwpu2019374p656.html |
_version_ |
1721487715377086464 |