Modal Control of Unmanned Aerial Vehicle Roll Angle
DOI:
https://doi.org/10.18372/1990-5548.88.20979Keywords:
аutopilot, observer, automatic control system, roll angle, unmanned aerial vehicle, PID controllerAbstract
The article deals with the problem of automatic control of the roll angle of an unmanned aerial vehicle. Based on the complete mathematical model of the unmanned aerial vehicle and modal control methods, two variants of the automatic control system are considered: an autopilot implemented as a closed-loop feedback system and a system with an observer device. The controllability and observability conditions of the system are analyzed, and the autopilot equation with a structure corresponding to a PID controller is obtained. Numerical simulation results are presented in the form of time dependences of the roll angle, roll rate, and aileron deflection angle for different natural frequencies. Analytical verification confirms the steady-state value of the roll angle obtained by simulation. The parameters of the autopilot for different transient processes are determined. The roots of the characteristic equations for the binomial and Butterworth standard forms are calculated, and analytical expressions for the gain matrix of the Luenberger observer are obtained. The results show that the use of an observer device significantly changes the transient response of the system. The proposed approach based on modal control methods can be applied not only to roll control but also to the design of automatic control systems for pitch and yaw angles of unmanned aerial vehicles and other aircraft.
References
D. A. Vadis and V. V. Avrutov, “Methods for increasing the functional efficiency of UAVs,” Mechanics of Gyroscopic Systems, no. 48, pp. 55–68, 2024. https://doi.org/10.20535/0203-3771482024317891
Z. Kong and Q. Lu, “Mathematical Modeling and Modal Switching Control of a Novel Tiltrotor UAV,” Journal of Robotics, vol. 2018, no. 1, 2018, Art. no. 8641731. https://doi.org/10.1155/2018/8641731
Y. Liu and H. Wang, “Mode Transition Control Law Design for a Multi-Modal UAV,” 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), IEEE, 2019, pp. 1664–1671. https://doi.org/10.1109/ITAIC.2019.8785767
Y. Bai, X. Li, J. Zhang, et al., “Dynamic UAV Deployment in Multi-UAV Wireless Networks: A Multi-Modal Feature-Based Deep Reinforcement Learning Approach,” IEEE Internet of Things Journal, 2025. https://doi.org/10.1109/JIOT.2025.3556300
G. Rizzoli, F. Rebecchi, F. Biondi, et al., “Syndrone Multi-Modal UAV Dataset for Urban Scenarios,” Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023, pp. 2210–2220. https://doi.org/10.1109/ICCVW60793.2023.00235
J. Luo, L. Zhang, Y. Chen, et al., “UAV-Based Operational Modal Analysis Method Using Improved Homography-Based Perspective Rectification Method,” Journal of Vibration and Control, vol. 30, no. 7–8, pp. 1829–1840, 2024. https://doi.org/10.1177/10775463231171958
J. Miao and P. Zhang, “UAV Visual Navigation System Based on Digital Twin,” 2022 18th International Conference on Mobility, Sensing and Networking (MSN), IEEE, 2022, pp. 865–870. https://doi.org/10.1109/MSN57253.2022.00140
A. Li, J. Chen, Z. Wang, et al., “Cross-Modal Object Detection via UAV,” IEEE Transactions on Vehicular Technology, vol. 72, no. 8, pp. 10894–10905, 2023. https://doi.org/10.1109/TVT.2023.3262129
M. A. Diallo, M. Ould-Khaoua, B. Gueye, et al., “Multi-Modal Deep Reinforcement Learning Framework for Interference-Limited RIS-Assisted UAV Wireless Network,” 2025 12th IFIP International Conference on New Technologies, Mobility and Security (NTMS), IEEE, 2025, pp. 80–85. https://doi.org/10.1109/NTMS65597.2025.11076827
R. C. Dorf and R. H. Bishop, Modern Control Systems, Upper Saddle River, NJ: Prentice-Hall, 2001, 831 p. https://doi.org/10.1002/acs.890
B. Porter, R. Crossley, and P. A. Witting, “Modal control: Theory and applications,” in IEEE Trans. Syst., Man, Cybern., vol. SMC-4, no. 6, pp. 595–596, 1974.
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