Trajectory tracking of a quadrotor using extend state observer based U-model enhanced double sliding mode control

Li, Ruobing; Zhu, Quanmin; Nemati, Hamidreza; Yue, Xicai; Narayan, Pritesh

Abstract

This paper develops a novel U-model enhanced double sliding mode controller (UDSMC) for a quadrotor based on multiple-input and multiple-output extended-state-observer (MIMO-ESO). UDSMC is designed using Lyapunov synthesis and Hurwitz stability to not only cancel the complex dynamics and nonlinearity, but also stabilize the uncertainty and external disturbance of the underlying quadrotors. MIMO-ESO is designed to estimate the unmeasurable velocities which can reduce the impact of sensor measurement errors in practice. The difficulties associated with quadrotor velocity's measurement disturbances and uncertain aerodynamics are successfully addressed in this control design. Rigorous theoretical analysis has been carried out to determine whether the proposed control system can achieve stable trajectory tracking performance, and a comparative real-time experimental study has also been carried out to verify the better effectiveness of the proposed control system than the built-in PID control system.

• Journal Article Type: Article
• Acceptance Date: Nov 15, 2022
• Online Publication Date: Feb 25, 2023
• Publication Date: Mar 1, 2023
• Deposit Date: Apr 25, 2023
• Publicly Available Date: Apr 25, 2023
• Journal: Journal of the Franklin Institute
• Print ISSN: 0016-0032
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 360
• Issue: 4
• Pages: 3520-3544
• DOI: https://doi.org/10.1016/j.jfranklin.2022.11.036
• Keywords: Trajectory tracking; quadrotor; extend state observer; U-model enhanced double sliding mode control
• Public URL: https://uwe-repository.worktribe.com/output/10708678
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S0016003222008389?via%3Dihub