Optimal Trajectory Planning for Orbital Robot Rendezvous and Docking

📅 2025-12-26
📈 Citations: 0
Influential: 0
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🤖 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.

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📝 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.
Problem

Research questions and friction points this paper is trying to address.

Planning safe orbital robot trajectories for debris capture
Optimizing close-range rendezvous with tumbling space targets
Implementing control for thrusters to follow planned paths
Innovation

Methods, ideas, or system contributions that make the work stand out.

Nonlinear optimization for close-range rendezvous trajectory planning
Dynamic keep-out sphere adapting to approach conditions
Control strategy using discrete ON/OFF thrusters for trajectory reproduction
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Kenta Iizuka
Space Robotics Lab. (SRL), Department of Aerospace Engineering, Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan
A
Akiyoshi Uchida
Space Robotics Lab. (SRL), Department of Aerospace Engineering, Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan
Kentaro Uno
Kentaro Uno
Tohoku University, Assistant Professor
RoboticsAerospace Engineering
Kazuya Yoshida
Kazuya Yoshida
Professor of Aerospace Engineering, Tohoku University
Space RoboticsPlanetary Exploration RoversTerramechanicsMicrosatellitesSpace Engineering