TY - GEN
T1 - Adaptive Fixed-Time Fault-Tolerant Attitude Tracking Control for Carrier-Based Aircraft
AU - Ge, Xuan
AU - Hao, Fei
AU - Zheng, Zewei
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper investigates the fault-tolerant attitude tracking control for carrier-based aircraft based on fixed-time theory. The disturbances arising from the variation of translational motion and model uncertainties in attitude angle loop are regarded as lumped disturbance and addressed by using a fixed-time extended state observer (FESO). An adaptive fixed-time radial basis function neural network disturbance observer (FRBFNNDO) is designed to compensate the stern stream disturbance, model uncertainties and actuator faults in angular rate loop and achieve fault-tolerant control. Meanwhile, the 'differential explosion' problem in backstepping design is effectively avoided by introducing a fixed-time filter. Importantly, the tracking error and the observer estimation error are rigorously demonstrated to converge to a small region in the fixed time. Finally, simulation results verify the effectiveness of the proposed fault-tolerant attitude tracking control algorithm.
AB - This paper investigates the fault-tolerant attitude tracking control for carrier-based aircraft based on fixed-time theory. The disturbances arising from the variation of translational motion and model uncertainties in attitude angle loop are regarded as lumped disturbance and addressed by using a fixed-time extended state observer (FESO). An adaptive fixed-time radial basis function neural network disturbance observer (FRBFNNDO) is designed to compensate the stern stream disturbance, model uncertainties and actuator faults in angular rate loop and achieve fault-tolerant control. Meanwhile, the 'differential explosion' problem in backstepping design is effectively avoided by introducing a fixed-time filter. Importantly, the tracking error and the observer estimation error are rigorously demonstrated to converge to a small region in the fixed time. Finally, simulation results verify the effectiveness of the proposed fault-tolerant attitude tracking control algorithm.
KW - Adaptive neural network
KW - Carrier-based aircraft
KW - Disturbance observer
KW - Extended state observer
KW - Fault-tolerant control
KW - Fixed-time control
UR - https://www.scopus.com/pages/publications/105013969852
U2 - 10.1109/CCDC65474.2025.11090713
DO - 10.1109/CCDC65474.2025.11090713
M3 - 会议稿件
AN - SCOPUS:105013969852
T3 - Proceedings of the 37th Chinese Control and Decision Conference, CCDC 2025
SP - 5614
EP - 5619
BT - Proceedings of the 37th Chinese Control and Decision Conference, CCDC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 37th Chinese Control and Decision Conference, CCDC 2025
Y2 - 16 May 2025 through 19 May 2025
ER -