Chen, Yuqing and Zhang, Gaoxiang and Zhuang, Yan and Hu, Huosheng (2019) Autonomous Flight Control for Multi-Rotor UAVs Flying at Low Altitude. IEEE Access, 7. pp. 42614-42625. DOI https://doi.org/10.1109/access.2019.2908205
Chen, Yuqing and Zhang, Gaoxiang and Zhuang, Yan and Hu, Huosheng (2019) Autonomous Flight Control for Multi-Rotor UAVs Flying at Low Altitude. IEEE Access, 7. pp. 42614-42625. DOI https://doi.org/10.1109/access.2019.2908205
Chen, Yuqing and Zhang, Gaoxiang and Zhuang, Yan and Hu, Huosheng (2019) Autonomous Flight Control for Multi-Rotor UAVs Flying at Low Altitude. IEEE Access, 7. pp. 42614-42625. DOI https://doi.org/10.1109/access.2019.2908205
Abstract
Unmanned aerial vehicles (UAVs) at low altitude flight may significantly degrade their performance and the safety under wind disturbances and incorrect operations. This paper presents a robust control strategy for UAVs to achieve good performance of low altitude flight and disturbance rejection. First, a novel second-order hexacopter dynamics is established and the position tracking is translated to the altitude and the rotational angle tracking problem. An integrated control scheme is created to deal with the challenges faced by hexacopter at low altitude flight, in which the influence of near-ground threshold distance and the desired roll, pitch, and yaw are analyzed. Moreover, an improved flying altitude planner and an attitude planner for low altitude conditions are designed respectively to avoid the overturning risk due to the big reaction torque and external disturbances. Second, a sliding-mode-based altitude tracking controller and an attitude tracking controller are designed to reduce the tracking errors and improve the robustness of the system. Finally, the proposed control scheme is tested on simulation and experiment platforms of multi-rotor UAV to show the feasibility and accurate trajectory tracking at low altitude flight.
Item Type: | Article |
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Uncontrolled Keywords: | Modeling; tracking control; low altitude; hexacopter; robustness |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 04 Feb 2021 15:11 |
Last Modified: | 16 May 2024 19:47 |
URI: | http://repository.essex.ac.uk/id/eprint/27645 |
Available files
Filename: IEEE-Access-V7-2019-42614-42625.pdf
Licence: Creative Commons: Attribution 3.0