A FLIGHT CONTROL SYSTEM FOR SMART TILT-ROTOR DRONE
Keywords:
Tilt-rotor drone (TRD), vertical take-off and landing (VTOL), control, vehicle control language (VCL), vision, strategy, inertial navigation system (INS), global positioning system (GPS).Abstract
This paper presents a hierarchical flight control system for smart tilt-rotor drones. The proposed approach performs high-level mission goals by gradually confirming them into machine-level instructions. The learned data from numerous sensors is spread backside to the greater levels for sensitive decision making. Each vertical take-off and landing drone is linked through regular wireless communication rules for an accessible multi-agent facility. The proposed flight control system has been effectively employed on several types of smart tilt-rotor drones and has been validated in some applications. Solutions from waypoint navigation, a probabilistic chase-evasion competition, and vision-based object chasing show the capability of the recommended method for intelligent drones
Published
How to Cite
Issue
Section
Copyright (c) 2025 SADI International Journal of Science, Engineering and Technology (SIJSET)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
GlobalSecurity.org. (n.d.). CH-10 Rainbow-10 tilt-rotor VTOL shipboard reconnaissance strike drone. Retrieved from https://www.globalsecurity.org/military/world/china/ch-10.htm
Sheng, Y., & Xuanzun, L. (2018). China reveals the CH-10 tilt-rotor drone. Global Times. Retrieved from https://www.globaltimes.cn/page/201810/1125359.shtml
Baykar Tech. (2023, January 12). Vertical-landing Bayraktar DIHA drone completes flight test at 8,000 ft. Retrieved from https://baykartech.com/en/press/vertical-landing-bayraktar-diha-drone-completes-flight-test-at-8000-ft/
Çakıcı, F., & Leblebicioglu, K. (2012). Modeling and simulation of a small-sized tiltrotor UAV. The Journal of Defense Modeling & Simulation, 9(4), 335-345. Retrieved from https://www.researchgate.net/publication/258132199_Modeling_and_simulation_of_a_small-sized_Tiltrotor_UAV
Wang, H., Sun, W., Zhao, C., Zhang, S., & Han, J. (n.d.). Dynamic modeling and control for tilt-rotor UAV based on 3D flow field transient CFD. MDPI. Retrieved from https://www.mdpi.com
Pessoa, R. S. (2017). Mathematical modeling of a tilt-rotor drone. Projeto de Graduação, Pontifícia Universidade Católica do Rio de Janeiro, Brazil. Retrieved from https://www.maxwell.vrac.puc-rio.br/30497/30497.PDF
Mousaei, M., Geng, J., Keipour, A., Bai, D., & Scherer, S. (2022). Design, modeling and control for a tilt-rotor VTOL UAV in the presence of actuator failure. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 4310-4317. Retrieved from https://arxiv.org/abs/2205.05533
Brogan, W. L. (n.d.). Modern control theory (3rd ed.). Retrieved from https://dokumen.tips/documents/william-l-brogan-modern-control-theory-3rd-edibookfiorg.html?page=1
Stevens, B. L., Lewis, F. L., & Johnson, E. N. (2016). Aircraft control and simulation: Dynamics, control design, and autonomous systems (3rd ed.). Wiley.
Federal Aviation Administration (FAA). (2009). Advanced avionics handbook. U.S. Department of Transportation.
Kayton, M., & Friend, W. R. (2006). Avionics navigation systems (2nd ed.). Wiley-Interscience.
Kim, H. J., & Shim, D. H. (2003). A flight control system for aerial robots: Algorithms and experiments. Control Engineering Practice, 11(12), 1389-1400. Retrieved from https://people.eecs.berkeley.edu/~sastry/pubs/PDFs%20of%20Pubs2000-2005/Pdfs%20of%20Misc.%20Others/Kim,H.Jin/KimFlightControlSystem2003.pdf
Zosimovych, N. (2020, April 9–11). UAV autopilot controller with test dynamics model platform. XI International Science and Engineering Conference (ІКТ-2020), Zhytomyrska Polytechnic Publisher, Zhytomyr, Ukraine, 135-138.
Emobility Engineering. (n.d.). Virtual AC system controllers. Retrieved from https://www.emobility-engineering.com/virtual-ac-system-controllers/
Zosimovych, N. (2023, June 6–9). Tilt-rotor drone-flight control system design. XXII International Scientific and Practical Conference Proceedings: Modern Theories and Improvement of World Methods, Helsinki, Finland, 433-440. Retrieved from https://isg-konf.com/uk/modern-theories-and-improvement-of-world-methods/
Kendoul, F., Zhenyu, Y., & Nomanami, K. (2009). Guidance and nonlinear control system for autonomous flight of mini-rotorcraft unmanned aerial vehicles. Journal of Field Robotics.
Zosimovych, N. (2024, April 12). A flight control system for tilt-rotor drone. Webinar V-MAE2024, 3rd Edition of Mechanical and Aerospace Engineering Virtual Program. Retrieved from https://www.sciwideonline.com/v-mae2024/#scientifictopics
Zosimovych, N. (2024). Hierarchical flight control system for tilt-rotor drones. Transactions on Engineering and Computing Sciences, 12(3), 73-87. Retrieved from https://journals.scholarpublishing.org/index.php/TMLAI/article/view/17047
Zosimovych, N. (2024). Hierarchical flight control system for tilt-rotor drones. Journal of Engineering and Applied Science Technology, 6(5), 1-7. Retrieved from https://onlinescientificresearch.com/articles/hierarchical-flight-control-system-for-tiltrotor-drones.pdf
Bartolini, G., & Punta, E. (2012). Sliding mode output-feedback stabilization of uncertain nonlinear non-affine systems. Automatica, 48(12), 3106-3113. Retrieved from https://www.researchgate.net/publication/256660653_Sliding_mode_output-feedback_stabilization_of_uncertain_nonlinear_nonaffine_systems=