TY - GEN
T1 - Enhanced Transition Control for Tail-Sitter UAVs
T2 - 38th Chinese Control and Decision Conference, CCDC 2026
AU - Xian, Fengqing
AU - Geng, Qingbo
AU - Liu, Kui
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - To address the challenges posed by significant changes in dynamic characteristics and strong coupling during the flight mode transition from vertical takeoff and landing to horizontal cruise in tail-sitter unmanned aerial vehicles (UAVs), this paper proposes a control architecture that integrates Nonlinear Dynamic Inversion (NDI) with Active Disturbance Rejection Control (ADRC). Focusing on inner-loop attitude control, the approach utilizes NDI to achieve precise linearization of the UAV's nonlinear nominal model, thereby establishing an ideal basis for tracking response. An Extended State Observer (ESO) is subsequently designed to estimate and dynamically compensate for disturbances. Comparative experiments were conducted in the MATLAB/Simulink simulation environment. To validate the effectiveness of the proposed method, a transition corridor for a tail-sitter quadrotor UAV was designed. The safety and performance of transition control were evaluated against this predefined corridor. Experimental results demonstrate that, compared with conventional pure NDI control, the proposed scheme achieves smoother, faster, and more accurate transition trajectory tracking, with a reduction in altitude tracking error of approximately 1.5% and a decrease in transition time of about 40%.
AB - To address the challenges posed by significant changes in dynamic characteristics and strong coupling during the flight mode transition from vertical takeoff and landing to horizontal cruise in tail-sitter unmanned aerial vehicles (UAVs), this paper proposes a control architecture that integrates Nonlinear Dynamic Inversion (NDI) with Active Disturbance Rejection Control (ADRC). Focusing on inner-loop attitude control, the approach utilizes NDI to achieve precise linearization of the UAV's nonlinear nominal model, thereby establishing an ideal basis for tracking response. An Extended State Observer (ESO) is subsequently designed to estimate and dynamically compensate for disturbances. Comparative experiments were conducted in the MATLAB/Simulink simulation environment. To validate the effectiveness of the proposed method, a transition corridor for a tail-sitter quadrotor UAV was designed. The safety and performance of transition control were evaluated against this predefined corridor. Experimental results demonstrate that, compared with conventional pure NDI control, the proposed scheme achieves smoother, faster, and more accurate transition trajectory tracking, with a reduction in altitude tracking error of approximately 1.5% and a decrease in transition time of about 40%.
KW - NDI-ADRC
KW - Tail-sitter UAV
KW - Transition Control
UR - https://www.scopus.com/pages/publications/105043953708
U2 - 10.1109/CCDC69976.2026.11559972
DO - 10.1109/CCDC69976.2026.11559972
M3 - Conference contribution
AN - SCOPUS:105043953708
T3 - 38th Chinese Control and Decision Conference, CCDC 2026
SP - 5227
EP - 5232
BT - 38th Chinese Control and Decision Conference, CCDC 2026
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 May 2026 through 18 May 2026
ER -