TY - GEN
T1 - Adaptive Control Method for Hypersonic Flight Vehicles with Constrained to Guarantee Prescribed Performance
AU - Qin, Zhenni
AU - Fu, Wenxing
AU - Xu, Shengli
AU - Hu, Shan
AU - Zhang, Dongdong
N1 - Publisher Copyright:
© 2023, Beijing HIWING Sci. and Tech. Info Inst.
PY - 2023
Y1 - 2023
N2 - To solve the problem of stable trajectory control of the longitudinal motion model of hypersonic vehicle with input constraints, an adaptive control method is designed to guarantee the preset performance. First, the hypersonic vehicle model is divided into velocity and altitude subsystems in order to facilitate controller design. Then, the Nussbaum function is introduced to design an adaptive law to solve the input saturation constraint problem, while a prescribed performance controller is designed for the subsystem to improve the transient and steady-state performance of the system. To address the problem of relying on artificially optimized control parameters, a strategy capable of adaptively optimizing control parameters is proposed based on the Cuckoo Search (CS) algorithm, and finally, the stability of all closed-loop systems is demonstrated based on Lyapunov stability theory. The simulation results show that the controller is able to track the reference signal stably.
AB - To solve the problem of stable trajectory control of the longitudinal motion model of hypersonic vehicle with input constraints, an adaptive control method is designed to guarantee the preset performance. First, the hypersonic vehicle model is divided into velocity and altitude subsystems in order to facilitate controller design. Then, the Nussbaum function is introduced to design an adaptive law to solve the input saturation constraint problem, while a prescribed performance controller is designed for the subsystem to improve the transient and steady-state performance of the system. To address the problem of relying on artificially optimized control parameters, a strategy capable of adaptively optimizing control parameters is proposed based on the Cuckoo Search (CS) algorithm, and finally, the stability of all closed-loop systems is demonstrated based on Lyapunov stability theory. The simulation results show that the controller is able to track the reference signal stably.
KW - Cuckoo search
KW - Hypersonic flight vehicle
KW - Nussbaum function
KW - Prescribed performance
UR - http://www.scopus.com/inward/record.url?scp=85151049129&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-0479-2_190
DO - 10.1007/978-981-99-0479-2_190
M3 - 会议稿件
AN - SCOPUS:85151049129
SN - 9789819904785
T3 - Lecture Notes in Electrical Engineering
SP - 2044
EP - 2053
BT - Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022
A2 - Fu, Wenxing
A2 - Gu, Mancang
A2 - Niu, Yifeng
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Autonomous Unmanned Systems, ICAUS 2022
Y2 - 23 September 2022 through 25 September 2022
ER -