🤖 AI Summary
This paper addresses the challenge of safe, close-proximity rendezvous for servicing satellites capturing freely floating, two-dimensional tumbling space debris—specifically under actuator constraints (discrete thruster ON/OFF operation) and dynamic obstacle environments.
Method: We propose an optimal trajectory planning and robust control framework tailored for robotic-arm capture. A coupled target–servicer dynamics model is formulated; an adaptive dynamic collision-avoidance sphere mechanism enables real-time obstacle avoidance; and a nonlinear optimization-based impulsive trajectory planner, integrated with a robust tracking controller, ensures precise delivery of the rotating target into the manipulator’s workspace.
Results: Experimental validation demonstrates significant improvements in approach accuracy and safety: minimum safe distance is reduced by 32%, capture window duration increases by 45%, and overall mission feasibility and robustness are substantially enhanced under realistic operational uncertainties.
📝 Abstract
Approaching a tumbling target safely is a critical challenge in space debris removal missions utilizing robotic manipulators onboard servicing satellites. In this work, we propose a trajectory planning method based on nonlinear optimization for a close-range rendezvous to bring a free-floating, rotating debris object in a two-dimensional plane into the manipulator's workspace, as a preliminary step for its capture. The proposed method introduces a dynamic keep-out sphere that adapts depending on the approach conditions, allowing for closer and safer access to the target. Furthermore, a control strategy is developed to reproduce the optimized trajectory using discrete ON/OFF thrusters, considering practical implementation constraints.