TY - GEN
T1 - Adaptive Tracking Control for Hypersonic Flight Vehicle Using ADHDP
AU - Shuai, Liang
AU - Daqian, Wang
AU - Bin, Xu
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper investigates the tracking control problem for the uncertain system of hypersonic flight vehicle (HFV). An adaptive control scheme consisting of an adaptive baseline controller and an auxiliary optimization controller is proposed. The adaptive baseline controller is directly constructed by introducing a high-gain observer and only one neural network, which leads a much simpler design process than the backstepping scheme and does not require precise dynamics of HFv. Besides, action-dependent heuristic dynamic progranuning technology is applied to establish the auxiliary optimization controller, and the difference between the output and its reference signal can be further observed and minished by the auxiliary optimization controller. The stability is proved by Lyapunov theory and the superiority of the proposed strategy is verified by numerical simulation.
AB - This paper investigates the tracking control problem for the uncertain system of hypersonic flight vehicle (HFV). An adaptive control scheme consisting of an adaptive baseline controller and an auxiliary optimization controller is proposed. The adaptive baseline controller is directly constructed by introducing a high-gain observer and only one neural network, which leads a much simpler design process than the backstepping scheme and does not require precise dynamics of HFv. Besides, action-dependent heuristic dynamic progranuning technology is applied to establish the auxiliary optimization controller, and the difference between the output and its reference signal can be further observed and minished by the auxiliary optimization controller. The stability is proved by Lyapunov theory and the superiority of the proposed strategy is verified by numerical simulation.
KW - action-dependent heuristic dynamic progranuning
KW - adaptive control
KW - Hypersonic flight vehicle
KW - neural network
UR - http://www.scopus.com/inward/record.url?scp=85144623936&partnerID=8YFLogxK
U2 - 10.1109/DOCS55193.2022.9967480
DO - 10.1109/DOCS55193.2022.9967480
M3 - 会议稿件
AN - SCOPUS:85144623936
T3 - 2022 4th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2022
BT - 2022 4th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2022
Y2 - 28 October 2022 through 30 October 2022
ER -