TY - GEN
T1 - Attitude Maneuver Planning of Target Spacecraft Under Collaborative On-Orbit Inspection
AU - Yan, Huida
AU - Li, Chuanjiang
AU - Yuan, Li
AU - Hao, Renjian
AU - Zhang, Haibo
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The article focuses on collaborative on-orbit inspection involving cooperative target space-craft (TSc). Attitude maneuver planning of the TSc is implemented to ensure that its features can be observed by multiple closely accompanying observers. A method for discriminating the visibility of features is proposed based on the spacecraft's structural dimensions. The article introduces a double-loop optimization framework: the outer loop adopts rolling planning to determine the expected attitude, while the inner loop employs the deep deterministic strategy gradient algorithm (DDPG) to quickly solve the maneuvering trajectory and determine the associated cost. The planning process considers the pointing constraints of the optical load and the maneuverability constraints of the executing mechanism. Finally, the feasibility of the optimization framework is rigorously validated through the simulation examples provided.
AB - The article focuses on collaborative on-orbit inspection involving cooperative target space-craft (TSc). Attitude maneuver planning of the TSc is implemented to ensure that its features can be observed by multiple closely accompanying observers. A method for discriminating the visibility of features is proposed based on the spacecraft's structural dimensions. The article introduces a double-loop optimization framework: the outer loop adopts rolling planning to determine the expected attitude, while the inner loop employs the deep deterministic strategy gradient algorithm (DDPG) to quickly solve the maneuvering trajectory and determine the associated cost. The planning process considers the pointing constraints of the optical load and the maneuverability constraints of the executing mechanism. Finally, the feasibility of the optimization framework is rigorously validated through the simulation examples provided.
UR - https://www.scopus.com/pages/publications/85212156481
U2 - 10.1109/CYBER63482.2024.10749557
DO - 10.1109/CYBER63482.2024.10749557
M3 - 会议稿件
AN - SCOPUS:85212156481
T3 - 14th IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, CYBER 2024
SP - 218
EP - 223
BT - 14th IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, CYBER 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, CYBER 2024
Y2 - 16 July 2024 through 19 July 2024
ER -