A SURVEY OF CONTROL METHODS FOR UNMANNED AERIAL VEHICLE

Authors

  • Yuliia Ivanenko
  • Oleksii Liashenko
  • Tetiana Filimonchuk

DOI:

https://doi.org/10.26906/SUNZ.2023.1.026

Keywords:

control methods, unmanned aerial vehicle, manual control method, navigation control method, automatic control method

Abstract

Topicality. Over the past decades, with the rapid development of computer and automatic control technologies, research on unmanned aerial vehicles (UAVs) has attracted much attention from around the world. In particular, due to the demand for various civilian applications, UAV conceptual design and autonomous flight control technologies are mutually promoted and developed. The goal of this work is to structure the methods of controlling unmanned aerial vehicles and study their operating principles. The object of research is the process of UAV control, architecture and software of these vehicles. The subject of research is the methods of controlling unmanned aerial vehicles. Results. This paper analyzes the issues of UAV control, including the mathematical model of a quadrotor and various approaches to control. The main ideas, conditions of use, advantages and disadvantages of these methods are illustrated and discussed. Future directions of research in this area are considered. Conclusions. The identified control methods and their architectural components are planned to be used in the development of a drone for civilian needs and further research in this area.

Downloads

Download data is not yet available.

References

P. Liu, A. Y. Chen, Y. Huang, J. Han, J. L., Shih-Chung Kang, T. Wu, M. Wen, M. Tsai (2014), “A review of rotorcraft Unmanned Aerial Vehicle (UAV) developments and applications in civil engineering”, Smart Structures and Systems,. – 2014. – С. 1065–1094, doi: http://dx.doi.org/10.12989/sss.2014.13.6.1065.

Muhammad Maaruf, Magdi Sadek Mahmoud, Alfian Ma’arif (2022), “A Survey of Control Methods for Quadrotor UAV”, International Journal of Robotics and Control Systems Vol. 2, No. 4, 2022, pp. 652-665, available at: https://pubs2.ascee.org/index.php/ijrcs.

Z. Li, X. Ma, and Y. Li, “Robust trajectory tracking control for a quadrotor subject to disturbances and model uncertainties,” International Journal of Systems Science, vol. 51, no. 5, pp. 839–851, 2020, https://doi.org/10.1080/00207721.2020.1746430.

Z. Zuo, C. J. Liu, Q.-L. Han, and J. Song (2022), “Unmanned aerial vehicles: Control methods and future challenges”, IEEE/CAA J. Autom. Sinica, vol. 9, no. 4, pp. 601–614. doi: 10.1109/JAS.2022.105410.

O. Mechali, L. Xu, Y. Huang, M. Shi, and X. Xie (2021), “Observer-based fixed-time continuous nonsingular terminal sliding mode control of quadrotor aircraft under uncertainties and disturbances for robust trajectory tracking: Theory and experiment,” Control Engineering Practice, vol. 111, p. 104806, doi: https://doi.org/10.1016/j.conengprac.2021.104806.

H. Mo and G. Farid (2019), “Nonlinear and adaptive intelligent control techniques for quadrotor uav – a survey”, Asian Journal of Control, vol. 21, no. 2, pp. 989–1008, doi: https://doi.org/10.1002/asjc.1758.

J. Xiong, E. Zheng, “Position and attitude tracking control for a quadrotor UAV”, ISA (Instrum Soc Am) Trans, 53 (3) (2014), pp. 725-731, doi: https://doi.org/10.1016/j.isatra.2014.01.004.

B. J. Emran and H. Najjaran (2018), “A review of quadrotor: An underactuated mechanical system,” Annual Reviews in Control, vol. 46, pp. 165–180, doi: https://doi.org/10.1016/j.arcontrol.2018.10.009.

M. Campion, P. Ranganathan Prakash, S. Faruque (2019), “UAV swarm communication and control architectures: a review”, Journal of Unmanned Vehicle Systems, vol. 7, available at: https://cdnsciencepub.com/doi/10.1139/juvs-2018-0009.

M. R. Cohen, K. Abdulrahim, and J. R. Forbes, “Finite-horizon lqr control of quadrotors on se2(3),” IEEE Robotics and Automation Letters, vol. 5, no. 4, pp. 5748–5755, 2020, doi: https://doi.org/10.1109/LRA.2020. 3010214.

J. Schlagenhauf, P. Hofmeier, T. Bronnenmeyer, R. Paelinck, and M. Diehl, “Cascaded nonlinear mpc for realtime quadrotor position tracking,” IFAC-PapersOnLine, vol. 53, no. 2, pp. 7026–7032, 2020, doi: https: //doi.org/10.1016/j.ifacol.2020.12.444.

C.-C. Chen and Y.-T. Chen, “Feedback linearized optimal control design for quadrotor with multiperformances,” IEEE Access, vol. 9, pp. 26 674–26 695, 2021, doi: https://doi.org/10.1109/ACCESS.2021. 3057378

Z. Hou, P. Lu, and Z. Tu, “Nonsingular terminal sliding mode control for a quadrotor uav with a total rotor failure,” Aerospace Science and Technology, vol. 98, p. 105716, 2020, doi: https://doi.org/10.1016/j.ast. 2020.105716.

B. J. Emran and H. Najjaran, “A review of quadrotor: An underactuated mechanical system,” Annual Reviews in Control, vol. 46, pp. 165–180, 2018, doi: https://doi.org/10.1016/j.arcontrol.2018.10.009.

Z. Wang and T. Zhao, “Based on robust sliding mode and linear active disturbance rejection control for attitude of quadrotor load uav,” Nonlinear Dynamics, pp. 3485–3503, 2022, doi: https://doi.org/10.1007/ s11071-022-07349-y.

L.-X. Xu, H.-J. Ma, D. Guo, A.-H. Xie, and D.-L. Song, “Backstepping sliding-mode and cascade active disturbance rejection control for a quadrotor uav,” IEEE/ASME Transactions on Mechatronics, vol. 25, no. 6, pp. 2743–2753, 2020, doi: https://doi.org/10.1109/TMECH.2020.2990582.

Martovytskyi V., Ivaniuk O. Approach to Building a Global Mobile Agent Way Based on Q-learning. Innovative Technologies and Scientific Solutions for Industries. 2020. № 3 (13). P. 43–51. doi: 10.30837/itssi.2020.13.043.

Published

2023-03-17

Issue

Section

Road, river, sea and air transport

Most read articles by the same author(s)