Regular Papers

International Journal of Control, Automation, and Systems 2023; 21(8): 2698-2707

https://doi.org/10.1007/s12555-022-0189-2

© The International Journal of Control, Automation, and Systems

Attitude Control of Quadrotor UAVs Based on Adaptive Sliding Mode

Jian Pan*, Bing Shao, Jiaxin Xiong, and Qi Zhang

Hubei University of Technology

Abstract

In this paper, the attitude control of the quadrotor system under external disturbance is studied. A novel adaptive sliding mode control (ASMC) based on the linear extended state observer (LESO) is proposed, and the LESO is designed to estimate the lumped disturbance. An adaptive switching algorithm for changing the switching gain in real time is contained in the proposed ASMC. Then the disturbance estimation error can be compensated by the variable gain switching term in real time, therefore the robustness of the system can be further improved. The stability of the system is proved by Lyapunov theory. Finally, the simulation and experimental results verify the effectiveness of the control method.

Keywords Attitude control, extended state observer, quadrotor, sliding mode control.

Article

Regular Papers

International Journal of Control, Automation, and Systems 2023; 21(8): 2698-2707

Published online August 1, 2023 https://doi.org/10.1007/s12555-022-0189-2

Copyright © The International Journal of Control, Automation, and Systems.

Attitude Control of Quadrotor UAVs Based on Adaptive Sliding Mode

Jian Pan*, Bing Shao, Jiaxin Xiong, and Qi Zhang

Hubei University of Technology

Abstract

In this paper, the attitude control of the quadrotor system under external disturbance is studied. A novel adaptive sliding mode control (ASMC) based on the linear extended state observer (LESO) is proposed, and the LESO is designed to estimate the lumped disturbance. An adaptive switching algorithm for changing the switching gain in real time is contained in the proposed ASMC. Then the disturbance estimation error can be compensated by the variable gain switching term in real time, therefore the robustness of the system can be further improved. The stability of the system is proved by Lyapunov theory. Finally, the simulation and experimental results verify the effectiveness of the control method.

Keywords: Attitude control, extended state observer, quadrotor, sliding mode control.

IJCAS
December 2024

Vol. 22, No. 12, pp. 3545~3811

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