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Stability Analysis of Finite-time Trajectory Tracking for Quadrotor Unmanned Aerial Vehicles Based on Backstepping Method
DOI: https://doi.org/10.62517/jike.202604111
Author(s)
Kangqi Zhai
Affiliation(s)
Wuhan Gangcheng No. 4 Middle School, Wuhan, China *Corresponding Author
Abstract
Quadcopter drones have been widely applied in fields such as aerial photography, logistics, and environmental monitoring due to their compact structure and strong maneuverability. However, its nonlinear and strongly coupled dynamic characteristics pose challenges to trajectory tracking control. The backstep method is a nonlinear control approach based on the Lyapunov stability theory, which achieves system stability by recursively designing virtual control quantities. This paper focuses on the application of the backstep method in the finite-time trajectory tracking of quadrotor unmanned aerial vehicles (UAVs), and conducts an analysis from four dimensions: theoretical framework, stability conditions, robustness optimization, and future development directions, aiming to provide theoretical support for improving the trajectory tracking accuracy and stability of UAVs in complex environments.
Keywords
Quadcopter Unmanned Aerial Vehicle; Reverse Step Method; Finite-time Trajectory Tracking; Stability Analysis; Nonlinear Control
References
[1] Shauqee, M. N., Rajendran, P., & Suhadis, N. M. (2021). Quadrotor Controller Design Techniques and Applications Review. INCAS Bulletin, 13(3). [2] Baharuddin, A. D., & Basri, M. A. M. (2023). Trajectory tracking of a quadcopter uav using pid controller. ELEKTRIKA-Journal of Electrical Engineering, 22(2), 14-21. [3] Yu, D., Ma, S., Liu, Y. J., Wang, Z., & Chen, C. P. (2023). Finite-time adaptive fuzzy backstepping control for quadrotor UAV with stochastic disturbance. IEEE Transactions on Automation Science and Engineering, 21(2), 1335-1345. [4] Shankaran, V. P., Azid, S. I., Mehta, U., & Fagiolini, A. (2022). Improved performance in quadrotor trajectory tracking using MIMO PI λ-D control. IEEE access, 10, 110646-110660. [5] Liu, P., Ye, R., Shi, K., & Yan, B. (2021). Full backstepping control in dynamic systems with air disturbances optimal estimation of a quadrotor. IEEE Access, 9, 34206-34220. [6] Benotsmane, R., Reda, A., & Vásárhelyi, J. (2022, May). Model predictive control for autonomous quadrotor trajectory tracking. In 2022 23rd International Carpathian Control Conference (ICCC) (pp. 215-220). IEEE. [7] Hou, Y., Chen, D., & Yang, S. (2023). Adaptive robust trajectory tracking controller for a quadrotor UAV with uncertain environment parameters based on backstepping sliding mode method. IEEE Transactions on Automation Science and Engineering. [8] Hassani, H., Mansouri, A., & Ahaitouf, A. (2022). Robust Finite‐Time Tracking Control Based on Disturbance Observer for an Uncertain Quadrotor under External Disturbances. Journal of Robotics, 2022(1), 4581165.
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