Autonomous Quadcopter Precision Landing Onto a Heaving Platform: New Method and Experiment
Nowadays, with the increasing popularity of quadcopter unmanned aerial vehicles in several real-world applications, achieving a fully autonomous quadcopter flight has become an imperative topic investigated in many studies. One of the most pressing issues in such a topic is the precision landing tas...
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| Veröffentlicht in: | IEEE access 2020, Vol.8, p.167192-167202 |
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| creator | Xuan-Mung, Nguyen Hong, Sung Kyung Nguyen, Ngoc Phi Ha, Le Nhu Ngoc Thanh Le, Tien-Loc |
| description | Nowadays, with the increasing popularity of quadcopter unmanned aerial vehicles in several real-world applications, achieving a fully autonomous quadcopter flight has become an imperative topic investigated in many studies. One of the most pressing issues in such a topic is the precision landing task, which always is devastatingly influenced by the ground effect and external disturbances. In this paper, we present an autonomous quadcopter landing algorithm allowing the vehicle to land robustly and precisely onto a heaving platform. Firstly, a robust control algorithm addressing the altitude flight under the ground effect and external disturbances is derived. We strictly prove the closed-loop system stability by using the Lyapunov theory. Secondly, a landing target state estimator is proposed to provide state estimations of the moving landing target. In addition, we propose a landing procedure to ensure the landing task is achieved safely and reliably. Finally, we use a DJI-F450 drone equipped with an infrared sensor and a laser ranging sensor as the experimental quadcopter platform and conduct experiments to evaluate the performance of our new algorithm in real flight conditions. The experimental results demonstrate the effectiveness of the proposed method. |
| doi_str_mv | 10.1109/ACCESS.2020.3022881 |
| format | Article |
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One of the most pressing issues in such a topic is the precision landing task, which always is devastatingly influenced by the ground effect and external disturbances. In this paper, we present an autonomous quadcopter landing algorithm allowing the vehicle to land robustly and precisely onto a heaving platform. Firstly, a robust control algorithm addressing the altitude flight under the ground effect and external disturbances is derived. We strictly prove the closed-loop system stability by using the Lyapunov theory. Secondly, a landing target state estimator is proposed to provide state estimations of the moving landing target. In addition, we propose a landing procedure to ensure the landing task is achieved safely and reliably. Finally, we use a DJI-F450 drone equipped with an infrared sensor and a laser ranging sensor as the experimental quadcopter platform and conduct experiments to evaluate the performance of our new algorithm in real flight conditions. The experimental results demonstrate the effectiveness of the proposed method.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2020.3022881</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Algorithms ; Autonomous landing ; Cameras ; Compounds ; Control algorithms ; Control theory ; disturbance observer ; Disturbances ; Feedback control ; Flight conditions ; Heaving ; heaving platform ; Infrared detectors ; Infrared lasers ; Landing ; Marine vehicles ; moving target ; precision landing ; quadcopter ; Robust control ; Robustness ; ship deck ; sliding mode control ; Systems stability ; Task analysis ; Unmanned aerial vehicles ; Vehicle dynamics</subject><ispartof>IEEE access, 2020, Vol.8, p.167192-167202</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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| subjects | Algorithms Autonomous landing Cameras Compounds Control algorithms Control theory disturbance observer Disturbances Feedback control Flight conditions Heaving heaving platform Infrared detectors Infrared lasers Landing Marine vehicles moving target precision landing quadcopter Robust control Robustness ship deck sliding mode control Systems stability Task analysis Unmanned aerial vehicles Vehicle dynamics |
| title | Autonomous Quadcopter Precision Landing Onto a Heaving Platform: New Method and Experiment |
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