TY - JOUR
T1 - DOB-Based Neural Control of Flexible Hypersonic Flight Vehicle Considering Wind Effects
AU - Xu, Bin
AU - Wang, Danwei
AU - Zhang, Youmin
AU - Shi, Zhongke
N1 - Publisher Copyright:
© 1982-2012 IEEE.
PY - 2017/11
Y1 - 2017/11
N2 - This paper investigates the disturbance observer (DOB)-based neural adaptive control on the longitudinal dynamics of a flexible hypersonic flight vehicle (HFV) in the presence of wind effects. The coupling effect between flexible states and rigid body, and the accessional angle of attack (AOA) due to wind, is modeled as unknown disturbance, where the nonlinear DOB is constructed using the neural approximation. For the weight update in neural networks (NNs), a novel algorithm is proposed with the additional prediction error derived from the serial-parallel estimation model (SPEM) using both neural approximation and disturbance estimation. Different from previous work, the wind effect is taken into the hypersonic flight dynamics for realistic analysis, and the novel controller is designed using compound estimation, where the NN and the DOB are constructed to deal with aerodynamic uncertainty and unknown disturbance. Simulation studies of a flexible HFV with wind effects show that the proposed controller can achieve high tracking accuracy, while the compound estimation can closely follow the system uncertainty with fast convergence.
AB - This paper investigates the disturbance observer (DOB)-based neural adaptive control on the longitudinal dynamics of a flexible hypersonic flight vehicle (HFV) in the presence of wind effects. The coupling effect between flexible states and rigid body, and the accessional angle of attack (AOA) due to wind, is modeled as unknown disturbance, where the nonlinear DOB is constructed using the neural approximation. For the weight update in neural networks (NNs), a novel algorithm is proposed with the additional prediction error derived from the serial-parallel estimation model (SPEM) using both neural approximation and disturbance estimation. Different from previous work, the wind effect is taken into the hypersonic flight dynamics for realistic analysis, and the novel controller is designed using compound estimation, where the NN and the DOB are constructed to deal with aerodynamic uncertainty and unknown disturbance. Simulation studies of a flexible HFV with wind effects show that the proposed controller can achieve high tracking accuracy, while the compound estimation can closely follow the system uncertainty with fast convergence.
KW - Accessional attack angle
KW - disturbance observer (DOB)
KW - flexible hypersonic flight dynamics
KW - neural networks (NNs)
KW - wind effect
UR - http://www.scopus.com/inward/record.url?scp=85027343099&partnerID=8YFLogxK
U2 - 10.1109/TIE.2017.2703678
DO - 10.1109/TIE.2017.2703678
M3 - 文章
AN - SCOPUS:85027343099
SN - 0278-0046
VL - 64
SP - 8676
EP - 8685
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
IS - 11
M1 - 7926334
ER -