TY - JOUR
T1 - Barrier Lyapunov Function Based Learning Control of Hypersonic Flight Vehicle with AOA Constraint and Actuator Faults
AU - Xu, Bin
AU - Shi, Zhongke
AU - Sun, Fuchun
AU - He, Wei
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2019/3
Y1 - 2019/3
N2 - This paper investigates a fault-tolerant control of the hypersonic flight vehicle using back-stepping and composite learning. With consideration of angle of attack (AOA) constraint caused by scramjet, the control laws are designed based on barrier Lyapunov function. To deal with the unknown actuator faults, a robust adaptive allocation law is proposed to provide the compensation. Meanwhile, to obtain good system uncertainty approximation, the composite learning is proposed for the update of neural weights by constructing the serial-parallel estimation model to obtain the prediction error which can dynamically indicate how the intelligent approximation is working. Simulation results show that the controller obtains good system tracking performance in the presence of AOA constraint and actuator faults.
AB - This paper investigates a fault-tolerant control of the hypersonic flight vehicle using back-stepping and composite learning. With consideration of angle of attack (AOA) constraint caused by scramjet, the control laws are designed based on barrier Lyapunov function. To deal with the unknown actuator faults, a robust adaptive allocation law is proposed to provide the compensation. Meanwhile, to obtain good system uncertainty approximation, the composite learning is proposed for the update of neural weights by constructing the serial-parallel estimation model to obtain the prediction error which can dynamically indicate how the intelligent approximation is working. Simulation results show that the controller obtains good system tracking performance in the presence of AOA constraint and actuator faults.
KW - Angle of attack (AOA) constraint
KW - barrier Lyapunov function (BLF)
KW - composite learning
KW - fault-tolerant control (FTC)
KW - hypersonic flight vehicle (HFV)
UR - http://www.scopus.com/inward/record.url?scp=85042357223&partnerID=8YFLogxK
U2 - 10.1109/TCYB.2018.2794972
DO - 10.1109/TCYB.2018.2794972
M3 - 文章
C2 - 29994461
AN - SCOPUS:85042357223
SN - 2168-2267
VL - 49
SP - 1047
EP - 1057
JO - IEEE Transactions on Cybernetics
JF - IEEE Transactions on Cybernetics
IS - 3
M1 - 8295169
ER -