Reinforcement learning based recovery flight control for flapping-wing micro-aerial vehicles under extreme attitudes
This article deals with the recovery flight problem of flapping-wing micro-aerial vehicles under extreme attitude by using a reinforcement learning approach. First, the reinforcement learning-based control policy is proposed to enable the flapping-wing micro-aerial vehicles to be recovery flight rap...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-01-01
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| Series: | International Journal of Advanced Robotic Systems |
| Online Access: | https://doi.org/10.1177/17298806241303290 |
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| _version_ | 1832576007862747136 |
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| author | Yang Yu Qiang Lu Botao Zhang |
| author_facet | Yang Yu Qiang Lu Botao Zhang |
| author_sort | Yang Yu |
| collection | DOAJ |
| description | This article deals with the recovery flight problem of flapping-wing micro-aerial vehicles under extreme attitude by using a reinforcement learning approach. First, the reinforcement learning-based control policy is proposed to enable the flapping-wing micro-aerial vehicles to be recovery flight rapidly and keep the angular acceleration as small as possible. Then, a hybrid control approach is designed to significantly improve the flight stability by combining the reinforcement learning-based control approach with the proportional-derivative control approach. Finally, simulation results show the effectiveness of the reinforcement learning-based method and the hybrid control method for the flapping-wing micro-aerial vehicles under extreme attitudes. |
| format | Article |
| id | doaj-art-aa1e5e242e87404ab7bbe92fe016982a |
| institution | Kabale University |
| issn | 1729-8814 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | International Journal of Advanced Robotic Systems |
| spelling | doaj-art-aa1e5e242e87404ab7bbe92fe016982a2025-01-31T14:05:58ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142025-01-012210.1177/17298806241303290Reinforcement learning based recovery flight control for flapping-wing micro-aerial vehicles under extreme attitudesYang Yu0Qiang Lu1Botao Zhang2 HDU-ITMO Joint Institute, , Hangzhou, China The School of Automation, , Hangzhou, China The School of Automation, , Hangzhou, ChinaThis article deals with the recovery flight problem of flapping-wing micro-aerial vehicles under extreme attitude by using a reinforcement learning approach. First, the reinforcement learning-based control policy is proposed to enable the flapping-wing micro-aerial vehicles to be recovery flight rapidly and keep the angular acceleration as small as possible. Then, a hybrid control approach is designed to significantly improve the flight stability by combining the reinforcement learning-based control approach with the proportional-derivative control approach. Finally, simulation results show the effectiveness of the reinforcement learning-based method and the hybrid control method for the flapping-wing micro-aerial vehicles under extreme attitudes.https://doi.org/10.1177/17298806241303290 |
| spellingShingle | Yang Yu Qiang Lu Botao Zhang Reinforcement learning based recovery flight control for flapping-wing micro-aerial vehicles under extreme attitudes International Journal of Advanced Robotic Systems |
| title | Reinforcement learning based recovery flight control for flapping-wing micro-aerial vehicles under extreme attitudes |
| title_full | Reinforcement learning based recovery flight control for flapping-wing micro-aerial vehicles under extreme attitudes |
| title_fullStr | Reinforcement learning based recovery flight control for flapping-wing micro-aerial vehicles under extreme attitudes |
| title_full_unstemmed | Reinforcement learning based recovery flight control for flapping-wing micro-aerial vehicles under extreme attitudes |
| title_short | Reinforcement learning based recovery flight control for flapping-wing micro-aerial vehicles under extreme attitudes |
| title_sort | reinforcement learning based recovery flight control for flapping wing micro aerial vehicles under extreme attitudes |
| url | https://doi.org/10.1177/17298806241303290 |
| work_keys_str_mv | AT yangyu reinforcementlearningbasedrecoveryflightcontrolforflappingwingmicroaerialvehiclesunderextremeattitudes AT qianglu reinforcementlearningbasedrecoveryflightcontrolforflappingwingmicroaerialvehiclesunderextremeattitudes AT botaozhang reinforcementlearningbasedrecoveryflightcontrolforflappingwingmicroaerialvehiclesunderextremeattitudes |