TY - JOUR
T1 - Robust trajectory tracking control for a quadrotor using recursive sliding mode control and nonlinear extended state observer
AU - Chen, Lulu
AU - Liu, Zhenbao
AU - Dang, Qingqing
AU - Zhao, Wen
AU - Wang, Guodong
N1 - Publisher Copyright:
© 2022 Elsevier Masson SAS
PY - 2022/9
Y1 - 2022/9
N2 - The trajectory tracking performance of a quadrotor is affected by the load variations, wind gusts, inaccurate model parameters, etc. This study proposes a novel robust trajectory tracking controller for a quadrotor via a nonlinear extended state observer and recursive sliding mode control (NESO-RSMC). First, a novel NESO is applied to observe the lumped disturbance in quadrotor dynamics, and the parameter design of the NESO does not rely on the information of the unknown lumped disturbance. Subsequently, based on NESO, the RSMC scheme is constructed in detail, which reduces chattering and ensures a fast response. In addition, the finite-time convergence of tracking errors based on the NESO-RSMC scheme was rigorously proved. The numerical simulation results verify the robustness of the proposed NESO-RSMC scheme in the case of external disturbances and model parameter uncertainties. Ultimately, the NESO-RSMC scheme was implemented on a real quadrotor, and its effectiveness was further proven by outdoor flight experiments.
AB - The trajectory tracking performance of a quadrotor is affected by the load variations, wind gusts, inaccurate model parameters, etc. This study proposes a novel robust trajectory tracking controller for a quadrotor via a nonlinear extended state observer and recursive sliding mode control (NESO-RSMC). First, a novel NESO is applied to observe the lumped disturbance in quadrotor dynamics, and the parameter design of the NESO does not rely on the information of the unknown lumped disturbance. Subsequently, based on NESO, the RSMC scheme is constructed in detail, which reduces chattering and ensures a fast response. In addition, the finite-time convergence of tracking errors based on the NESO-RSMC scheme was rigorously proved. The numerical simulation results verify the robustness of the proposed NESO-RSMC scheme in the case of external disturbances and model parameter uncertainties. Ultimately, the NESO-RSMC scheme was implemented on a real quadrotor, and its effectiveness was further proven by outdoor flight experiments.
KW - Nonlinear extended state observer
KW - Recursive sliding mode control
KW - Unmanned aerial vehicle
UR - http://www.scopus.com/inward/record.url?scp=85134883312&partnerID=8YFLogxK
U2 - 10.1016/j.ast.2022.107749
DO - 10.1016/j.ast.2022.107749
M3 - 文章
AN - SCOPUS:85134883312
SN - 1270-9638
VL - 128
JO - Aerospace Science and Technology
JF - Aerospace Science and Technology
M1 - 107749
ER -