Applied and Computational Engineering

- The Open Access Proceedings Series for Conferences


Proceedings of the 2023 International Conference on Mechatronics and Smart Systems

Series Vol. 9 , 25 September 2023


Open Access | Article

The development status and analysis of motion control algorithms applied to UAVs

Haoyuan Qin * 1
1 Chang'an University

* Author to whom correspondence should be addressed.

Applied and Computational Engineering, Vol. 9, 140-147
Published 25 September 2023. © 25 September 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Haoyuan Qin. The development status and analysis of motion control algorithms applied to UAVs. ACE (2023) Vol. 9: 140-147. DOI: 10.54254/2755-2721/9/20230066.

Abstract

Due to the high mobility and longer durability, UAVs are widely used in military and various civilian fields. The control system of the UAVs is a key part of ensuring that the UAVs fulfil various instructions and complete the tasks. In response to the above issues, this paper summarizes and analyses the current status of motion control algorithms for unmanned aerial vehicles based on existing data. Firstly, the mainstream control technology of UAVs is divided into linear control technology, nonlinear control technology and machine learning-based control technology, and they are discussed separately. Subsequently, the performance of three technologies is evaluated and compared, and the advantages, disadvantages and the applicable environment of each controller are introduced. Finally, the future development direction of UAVs controller is analysed and prospected.

Keywords

UAVs technology, control algorithms analysis, motion control.

References

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2. Ulus, Saban, and Ikbal Eski. "Neural Network and Fuzzy Logic-Based Hybrid Attitude Controller Designs of a Fixed-Wing UAV." Neural Computing & Applications, vol. 33, no. 14, 2021, pp. 8821-8843.

3. Nguyen, Hoa, et al. "Control Algorithms for UAVs: A Comprehensive Survey." EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, vol. 7, no. 23, 2020, pp. 164586.

4. Ahmad, Faraz, et al. "Simulation of the Quadcopter Dynamics with LQR Based Control." Materials Today: Proceedings, vol. 24, 2020, pp. 326-332.

5. A. Al-Isawi, Malik M., Adnan J. Attiya, and Julius O. ADOGHE. "UAV Control Based on Dual LQR and Fuzzy-PID Controller." Ai-Khawarizmi Engineering Journal, vol. 16, no. 3, 2020, pp. 43-53.

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7. Ahmad, Irfan, et al. "A Non-Linear Improved Double-Integral Sliding Mode Controller (IDI-SMC) for Modeling and Simulation of 6 (DOF) Quadrotor System." IOP Conference Series: Materials Science and Engineering, vol. 853, no. 1, 2020, pp. 12035.

8. Kopecki, Grzegorz, et al. "Review of Chosen Control Algorithms used for Small UAV Control." Solid State Phenomena, vol. 260, 2017, pp. 175-183.

9. Eltayeb, Ahmed, Mohd F. Rahmat, and Mohd A. M. Basri. "Adaptive Feedback Linearization Controller for Stabilization of Quadrotor UAV." International Journal of Integrated Engineering, vol. 12, no. 4, 2020, pp. 1-17.

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12. Eressa, Muluken R., Danchen Zheng, and Min Han. PID and Neural Net Controller Performance Comparsion in UAV Pitch Attitude Control, IEEE, 2016, doi:10.1109/SMC.2016.7844333.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2023 International Conference on Mechatronics and Smart Systems
ISBN (Print)
978-1-83558-007-3
ISBN (Online)
978-1-83558-008-0
Published Date
25 September 2023
Series
Applied and Computational Engineering
ISSN (Print)
2755-2721
ISSN (Online)
2755-273X
DOI
10.54254/2755-2721/9/20230066
Copyright
25 September 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated