TY - GEN
T1 - Longitudinal Trajectory Planning and Attitude Control of Hypersonic Morphing Vehicle
AU - Dai, Wujie
AU - Fang, Zheng
AU - Li, Zheng
AU - Jia, Zhenyue
AU - Yu, Jianqiao
AU - Yu, Yong
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Aiming at the strong nonlinearity, strong coupling, uncertainty and other characteristics of hypersonic vehicle under morphing conditions, this paper studied the trajectory planning and attitude control problem of its longitudinal channel, and put forward a combined trajectory planning-open-loop independent morphing/control flight strategy. Firstly, a set of equations of motion for the longitudinal channel of the vehicle was established; then a sequential convex optimization solution method based on a new variable time-domain receding framework was designed for solving the trajectory planning problem of the gliding segment with free terminal time, and then an angle of attack reference command and an open-loop morphing command were obtained; on this basis, a backstepping sliding mode control method based on Extended State Observer was designed, and Particle Swarm Optimization algorithm was introduced to optimize the controller parameters, which further improved the control performance; finally, the effectiveness of the designed combined flight strategy was verified by simulation results.
AB - Aiming at the strong nonlinearity, strong coupling, uncertainty and other characteristics of hypersonic vehicle under morphing conditions, this paper studied the trajectory planning and attitude control problem of its longitudinal channel, and put forward a combined trajectory planning-open-loop independent morphing/control flight strategy. Firstly, a set of equations of motion for the longitudinal channel of the vehicle was established; then a sequential convex optimization solution method based on a new variable time-domain receding framework was designed for solving the trajectory planning problem of the gliding segment with free terminal time, and then an angle of attack reference command and an open-loop morphing command were obtained; on this basis, a backstepping sliding mode control method based on Extended State Observer was designed, and Particle Swarm Optimization algorithm was introduced to optimize the controller parameters, which further improved the control performance; finally, the effectiveness of the designed combined flight strategy was verified by simulation results.
KW - backstepping sliding mode control
KW - hypersonic morphing vehicle
KW - sequential convex optimization
KW - trajectory planning
KW - variable time-domain receding
UR - http://www.scopus.com/inward/record.url?scp=86000758712&partnerID=8YFLogxK
U2 - 10.1109/CAC63892.2024.10864489
DO - 10.1109/CAC63892.2024.10864489
M3 - Conference contribution
AN - SCOPUS:86000758712
T3 - Proceedings - 2024 China Automation Congress, CAC 2024
SP - 2997
EP - 3002
BT - Proceedings - 2024 China Automation Congress, CAC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 China Automation Congress, CAC 2024
Y2 - 1 November 2024 through 3 November 2024
ER -