TY - JOUR
T1 - Fault-tolerant control for over-actuated hypersonic reentry vehicle subject to multiple disturbances and actuator faults
AU - Yu, Yue
AU - Wang, Honglun
AU - Li, Na
N1 - Publisher Copyright:
© 2019 Elsevier Masson SAS
PY - 2019/4
Y1 - 2019/4
N2 - In this paper, a fault-tolerant control scheme is proposed for attitude tracking problem of hypersonic reentry vehicle subjected to multiple disturbances and time-varying actuator faults. For convenience of fault-tolerant controller design, conventional hypersonic reentry vehicle model is transformed into control-oriented model by incorporating actuator faults into lumped disturbance. Based on the lumped disturbance estimate provided by high order sliding mode observer, fault-tolerant controllers are developed within the frame of active disturbance rejection control in attitude loop and angular rate loop according to time-scale separation and singular perturbation principle. Then, the desired control moment is allocated to actuators based on recurrent neural network. With the well-designed fault-tolerant controllers and control allocation, a novel meta-heuristic dynamic adaptation salp swarm algorithm is employed to optimize control parameters to achieve minimum attitude tracking error. Comparative simulations are conducted to verify the effectiveness of the developed dynamic adaptation salp swarm algorithm and the investigated fault-tolerant control scheme.
AB - In this paper, a fault-tolerant control scheme is proposed for attitude tracking problem of hypersonic reentry vehicle subjected to multiple disturbances and time-varying actuator faults. For convenience of fault-tolerant controller design, conventional hypersonic reentry vehicle model is transformed into control-oriented model by incorporating actuator faults into lumped disturbance. Based on the lumped disturbance estimate provided by high order sliding mode observer, fault-tolerant controllers are developed within the frame of active disturbance rejection control in attitude loop and angular rate loop according to time-scale separation and singular perturbation principle. Then, the desired control moment is allocated to actuators based on recurrent neural network. With the well-designed fault-tolerant controllers and control allocation, a novel meta-heuristic dynamic adaptation salp swarm algorithm is employed to optimize control parameters to achieve minimum attitude tracking error. Comparative simulations are conducted to verify the effectiveness of the developed dynamic adaptation salp swarm algorithm and the investigated fault-tolerant control scheme.
KW - Active disturbance rejection control
KW - Control allocation
KW - Dynamic adaptation salp swarm algorithm
KW - Fault-tolerant control
KW - High order sliding mode observer
UR - https://www.scopus.com/pages/publications/85062420552
U2 - 10.1016/j.ast.2019.02.024
DO - 10.1016/j.ast.2019.02.024
M3 - 文章
AN - SCOPUS:85062420552
SN - 1270-9638
VL - 87
SP - 230
EP - 243
JO - Aerospace Science and Technology
JF - Aerospace Science and Technology
ER -