TY - GEN
T1 - Reduced Attitude Control Method for Satellites with Pointing Constraints and Disturbance
AU - Yu, Zhang
AU - Zhenxin, Feng
AU - Jun, Zhou
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this paper, the attitude control problem of satellites with dynamic pointing constraints, angular velocity constraints and disturbance is studied. Firstly, the attitude kinematics and dynamic pointing constraints are based on the reduced attitude description. Since the reduced attitude contains only two degrees of freedom, singularity and redundancy description are avoided. The artificial potential function is introduced to ensure that the satellite attitude meets the requirement of dynamic pointing constraints. At the same time, the barrier Lyapunov function is introduced to ensure that the angular velocity constraints are not violated during the maneuver process. The disturbance observer is used to estimate the disturbance torque, which enhances the system's ability to suppress the external disturbance. Stability analysis shows that the proposed control law ensures the asymptotic convergence of the system. Finally, the effectiveness of the proposed control method is verified by numerical simulation.
AB - In this paper, the attitude control problem of satellites with dynamic pointing constraints, angular velocity constraints and disturbance is studied. Firstly, the attitude kinematics and dynamic pointing constraints are based on the reduced attitude description. Since the reduced attitude contains only two degrees of freedom, singularity and redundancy description are avoided. The artificial potential function is introduced to ensure that the satellite attitude meets the requirement of dynamic pointing constraints. At the same time, the barrier Lyapunov function is introduced to ensure that the angular velocity constraints are not violated during the maneuver process. The disturbance observer is used to estimate the disturbance torque, which enhances the system's ability to suppress the external disturbance. Stability analysis shows that the proposed control law ensures the asymptotic convergence of the system. Finally, the effectiveness of the proposed control method is verified by numerical simulation.
KW - Artificial Potential Functions
KW - Disturbance Observer
KW - Dynamic Pointing Constraints
KW - Reduced Attitude
UR - http://www.scopus.com/inward/record.url?scp=85149490722&partnerID=8YFLogxK
U2 - 10.1109/CCDC55256.2022.10034114
DO - 10.1109/CCDC55256.2022.10034114
M3 - 会议稿件
AN - SCOPUS:85149490722
T3 - Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022
SP - 394
EP - 399
BT - Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 34th Chinese Control and Decision Conference, CCDC 2022
Y2 - 15 August 2022 through 17 August 2022
ER -