Priyambodo, Tri Kuntoro and Majid, Abdul and Shouran, Zaied Saad Salem (2023) Validation of Quad Tail-sitter VTOL UAV Model in Fixed Wing Mode. Journal of Robotics and Control (JRC), 4 (2). pp. 179-191. ISSN 27155056
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Abstract
Vertical take-off and landing (VTOL) is a type of unmanned aerial vehicle (UAV) that is growing rapidly because its ability to take off and land anywhere in tight spaces. One type of VTOL UAV, the tail-sitter, has the best efficiency. However, besides the efficiency offered, some challenges must still be overcome, including the complexity of combining the ability to hover like a helicopter and fly horizontally like a fixed-wing aircraft. This research has two contributions: in the form of how the analytical model is generated and the tools used (specifically for the small VTOL quad tail-sitter UAV) and how to utilize off-the-shelf components for UAV empirical modeling. This research focuses on increasing the speed and accuracy of the UAV VTOL control design in fixed-wing mode. The first step is to carry out analysis and simulation. The model is analytically obtained using OpenVSP in longitudinal and lateral modes. The next step is to realize this analytical model for both the aircraft and the controls. The third step is to measure the flight characteristics of the aircraft. Based on the data recorded during flights, an empirical model is made using system identification technique. The final step is to vali-date the analytical model with the empirical model. The results show that the characteristics of the analytical mode fulfill the specified requirements and are close to the empirical model. Thus, it can be concluded that the analytical model can be implemented directly, and consequently, the VTOL UAV design and development process has been shortened.
Item Type: | Article |
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Uncontrolled Keywords: | Quad Tail-sitter Control; Fixed-Wing Aerial Modeling; OpenVSP; System Identification; Analytical-Empirical Comparison. |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Mathematics and Natural Sciences > Computer Science & Electronics Department |
Depositing User: | Masrumi Fathurrohmah |
Date Deposited: | 21 Aug 2024 07:50 |
Last Modified: | 21 Aug 2024 07:50 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/2740 |