TY - GEN
T1 - Fuzzy Learning-Based Adaptive Sliding Mode Control of Multi-Agent Spacecraft Attitude Tracking
AU - Rafsun, Isfaq Ahmed
AU - Nchama, Vicente Angel Obama Biyogo
AU - Shi, Peng
AU - Masum, Sajjad Hossain
AU - Bose, Lucky
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - The Spacecraft Rendezvous technique requires an effective and robust attitude control. Therefore, this paper focuses on relative attitude tracking for a spacecraft as it aligns with another. A relative attitude tracking algorithm that combines the fuzzy learning-based adaptive SMC (Sliding Mode Control) with Lyapunov stability analysis is proposed to intelligently handle and ensure the desired attitude stability during spacecraft rendezvous under uncertain conditions. Finally, a numerical simulation is executed to validate the effectiveness and practical feasibility of the proposed method in high-fidelity spacecraft formation flying attitude control scenarios.
AB - The Spacecraft Rendezvous technique requires an effective and robust attitude control. Therefore, this paper focuses on relative attitude tracking for a spacecraft as it aligns with another. A relative attitude tracking algorithm that combines the fuzzy learning-based adaptive SMC (Sliding Mode Control) with Lyapunov stability analysis is proposed to intelligently handle and ensure the desired attitude stability during spacecraft rendezvous under uncertain conditions. Finally, a numerical simulation is executed to validate the effectiveness and practical feasibility of the proposed method in high-fidelity spacecraft formation flying attitude control scenarios.
KW - Adaptive Sliding Mode Control
KW - Fuzzy learning Control
KW - Nonlinear Control
KW - Spacecraft relative attitude control
UR - https://www.scopus.com/pages/publications/105020942563
U2 - 10.1109/CCAI65422.2025.11189661
DO - 10.1109/CCAI65422.2025.11189661
M3 - 会议稿件
AN - SCOPUS:105020942563
T3 - 2025 IEEE 5th International Conference on Computer Communication and Artificial Intelligence, CCAI 2025
SP - 772
EP - 777
BT - 2025 IEEE 5th International Conference on Computer Communication and Artificial Intelligence, CCAI 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Computer Communication and Artificial Intelligence, CCAI 2025
Y2 - 23 May 2025 through 25 May 2025
ER -