Fuzzy Learning-Based Adaptive Sliding Mode Control of Multi-Agent Spacecraft Attitude Tracking

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.