TY - GEN
T1 - Research on UAV Control Based on ESO-Based Global Fast Terminal Sliding Mode Adaptive Control
AU - Yang, Ziwen
AU - Yao, Xiaolan
AU - Fei, Qing
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, a global fast terminal sliding mode controller based on an extended state observer is proposed for for precise tracking of reference trajectories of unmanned aerial vehicles with uncertain parameters. First, for the dynamics model of underdriven strong coupling of quadrotor, the theory of differential flatness is introduced to transform the model into a fully driven model, and the coupling terms in the model are considered as external perturbations. Then a global fast sliding mode controller is designed based on the position error and velocity error, and an extended state observer is introduced in the controller to observe the internal and external perturbations of the system. Finally, the adaptive law estimation parameters are designed for the problem of parameter changes when the quadrotor performs its mission to ensure the accurate and stable tracking on the trajectory of the quadrotor. The simulation experiments prove the effectiveness of the proposed method.
AB - In this paper, a global fast terminal sliding mode controller based on an extended state observer is proposed for for precise tracking of reference trajectories of unmanned aerial vehicles with uncertain parameters. First, for the dynamics model of underdriven strong coupling of quadrotor, the theory of differential flatness is introduced to transform the model into a fully driven model, and the coupling terms in the model are considered as external perturbations. Then a global fast sliding mode controller is designed based on the position error and velocity error, and an extended state observer is introduced in the controller to observe the internal and external perturbations of the system. Finally, the adaptive law estimation parameters are designed for the problem of parameter changes when the quadrotor performs its mission to ensure the accurate and stable tracking on the trajectory of the quadrotor. The simulation experiments prove the effectiveness of the proposed method.
KW - extended state observer
KW - parameters adaptive
KW - sliding moede controller
UR - http://www.scopus.com/inward/record.url?scp=85189349633&partnerID=8YFLogxK
U2 - 10.1109/CAC59555.2023.10450975
DO - 10.1109/CAC59555.2023.10450975
M3 - Conference contribution
AN - SCOPUS:85189349633
T3 - Proceedings - 2023 China Automation Congress, CAC 2023
SP - 6091
EP - 6096
BT - Proceedings - 2023 China Automation Congress, CAC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 China Automation Congress, CAC 2023
Y2 - 17 November 2023 through 19 November 2023
ER -