TY - JOUR
T1 - Finite-time state-constrained adaptive fault-tolerant control for heavy launch vehicles with input quantization
AU - Zhang, Ruitao
AU - Wang, Zheng
AU - Fang, Yangwang
AU - Guo, Hang
AU - Fu, Wenxing
AU - Yan, Jie
AU - Rong, Lulu
N1 - Publisher Copyright:
© IMechE 2024.
PY - 2024/6
Y1 - 2024/6
N2 - This paper proposes the finite-time state-constrained adaptive fault-tolerant control method for a class of heavy launch vehicles subject to quantized input signals and actuator faults. Firstly, the attitude dynamic model of the heavy launch vehicles suffering from the actuator faults and disturbances is formulated. Secondly, to deal with the completely unknown nonlinear functions, radial basis function neural networks (RBFNNs) are introduced for approximation and compensation. Meanwhile, the barrier Lyapunov function (BLF) is introduced to ensure that all the states in the closed-loop system are bounded and the constraints of the system states are satisfied. As a result, the finite-time state-constrained adaptive fault-tolerant control structure is constructed for the heavy launch vehicles and the semi-globally practical finite-time stability (SGPFS) of the closed-loop control system is proved. Finally, numerical simulation results show the effectiveness and the satisfactory performance of the proposed control algorithm.
AB - This paper proposes the finite-time state-constrained adaptive fault-tolerant control method for a class of heavy launch vehicles subject to quantized input signals and actuator faults. Firstly, the attitude dynamic model of the heavy launch vehicles suffering from the actuator faults and disturbances is formulated. Secondly, to deal with the completely unknown nonlinear functions, radial basis function neural networks (RBFNNs) are introduced for approximation and compensation. Meanwhile, the barrier Lyapunov function (BLF) is introduced to ensure that all the states in the closed-loop system are bounded and the constraints of the system states are satisfied. As a result, the finite-time state-constrained adaptive fault-tolerant control structure is constructed for the heavy launch vehicles and the semi-globally practical finite-time stability (SGPFS) of the closed-loop control system is proved. Finally, numerical simulation results show the effectiveness and the satisfactory performance of the proposed control algorithm.
KW - fault-tolerant control
KW - finite-time
KW - heavy launch vehicles
KW - Neural network
KW - state constraints
UR - http://www.scopus.com/inward/record.url?scp=85188322216&partnerID=8YFLogxK
U2 - 10.1177/09544100241240161
DO - 10.1177/09544100241240161
M3 - 文章
AN - SCOPUS:85188322216
SN - 0954-4100
VL - 238
SP - 745
EP - 763
JO - Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
JF - Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
IS - 8
ER -