Laboratory Demonstration of Light-Detection-and-Ranging-Based Docking and Refueling of a Spinning Spacecraft

This research addresses the need to develop in-space refueling technologies by experimentally demonstrating an autonomous docking maneuver and fluid transfer operation between a servicer spacecraft and an uncooperative spinning client spacecraft. A novel computer vision algorithm estimates the relative pose of the client spacecraft in real time using an onboard light detection and ranging camera. An unscented Kalman filter refines the pose data before a model predictive controller generates a collision-free docking trajectory for the servicer spacecraft to follow. A custom-designed docking and refueling mechanism for fluid transfer performs magnetic soft docking and robotic arm capture to seal a probe-and-drogue connection and transfer fluid from the servicer to the client spacecraft. Planar experimental validation is conducted at Carleton University’s Spacecraft Proximity Operations Testbed, demonstrating a complete autonomous docking and refueling operation.

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Publication Details

Journal
Journal of Aerospace Information Systems
Published
2026-06-19
DOI
https://doi.org/10.2514/1.i011810
Primary Topic
Aerospace Engineering and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Laboratory Demonstration of Light-Detection-and-Ranging-Based Docking and Refueling of a Spinning Spacecraft

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Journal of Aerospace Information Systems
Aerospace Engineering and Control Systems
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Laboratory Demonstration of Light-Detection-and-Ranging-Based Docking and Refueling of a Spinning Spacecraft

Steve Ulrich, Courtney Savytska, Dominika Folta, Brian Koren, Daan Singh, Jeremy Peters, Kristian Delaney, Brianna Hines, Alexander Crain, Thomas King
article en

Abstract

This research addresses the need to develop in-space refueling technologies by experimentally demonstrating an autonomous docking maneuver and fluid transfer operation between a servicer spacecraft and an uncooperative spinning client spacecraft. A novel computer vision algorithm estimates the relative pose of the client spacecraft in real time using an onboard light detection and ranging camera. An unscented Kalman filter refines the pose data before a model predictive controller generates a collision-free docking trajectory for the servicer spacecraft to follow. A custom-designed docking and refueling mechanism for fluid transfer performs magnetic soft docking and robotic arm capture to seal a probe-and-drogue connection and transfer fluid from the servicer to the client spacecraft. Planar experimental validation is conducted at Carleton University’s Spacecraft Proximity Operations Testbed, demonstrating a complete autonomous docking and refueling operation.

Journal of Aerospace Information Systems
Carleton University (CA)
Natural Sciences and Engineering Research Council of Canada
Affordable and clean energy
Openalex Percentile: Top 3%
Aerospace Engineering and Control Systems
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