Mochurad, Lesia and Jamil Alsayaydeh, Jamil Abedalrahim and Yusof, Mohd Faizal (2024) An autopilot-based method for unmanned aerial vehicles trajectories control and adjustment. International Journal of Electrical and Computer Engineering, 14 (4). pp. 4154-4166. ISSN 2088-8708
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Abstract
In today's world, the rapid development of aviation technologies, particularly unmanned aerial vehicles (UAVs), presents new challenges and opportunities. UAVs are utilized across various industries, including scientific research, military, robotics, surveying, logistics, and postal delivery. However, to ensure efficient and safe operation, UAVs require a reliable autopilot system that delivers precise navigation control and flight stability. This paper introduces a method for controlling and adjusting UAV trajectories, which enhances accuracy in environments and tasks corresponding to the first or second level of autonomy. It outperforms the linear-quadratic method and the unmodified predictive control method by 43% and 74%, respectively. The findings of this study can be applied to the development and modernization of new UAV, as well as the advancement of new UAV motion control systems, thereby enhancing their quality and efficiency.
Item Type: | Article |
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Uncontrolled Keywords: | Model predictive control method, Optimization, Root-mean-square error, Runge-Kutta method, Unmanned aerial vehicle |
Divisions: | Faculty Of Electronics And Computer Technology And Engineering |
Depositing User: | Sabariah Ismail |
Date Deposited: | 07 Oct 2024 11:39 |
Last Modified: | 07 Oct 2024 11:39 |
URI: | http://eprints.utem.edu.my/id/eprint/27742 |
Statistic Details: | View Download Statistic |
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