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Model Reference Adaptive Control for Net-Based Debris Towing

  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Because of its ability to capture large, uncooperative objects from a safe distance, the tether-net system is considered one of the most favorable solutions for active debris removal. However, additional developments and analyses of control algorithms are needed for the post-capture phase of a net-based debris removal mission (i.e., debris towing for detumbling and deorbiting). In fact, previous research has either employed open-loop thrust control or designed feedback controllers for a simplified model, where the debris is rigidly attached to one or more tethers. In this work, tether elongation control laws based on the Model Reference Adaptive Control algorithm are designed to stabilize the full coupled chaser-tether-net-debris system, with the flexible net completely modeled in simulation. The system model and the control derivation processes are discussed for two algorithms (each with its own advantages and disadvantages), along with the results of towing simulations involving varying angular velocities and orientations of debris. Compared with a Proportional-Integral-Derivative control baseline, the simulation results show that the proposed algorithms are robust under varying conditions, enabling the debris removal system to achieve desired steady, safe behavior.

Original languageEnglish
Title of host publicationAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2026
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624107658
DOIs
StatePublished - 2026
EventAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2026 - Orlando, United States
Duration: Jan 12 2026Jan 16 2026

Publication series

NameAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2026

Conference

ConferenceAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2026
Country/TerritoryUnited States
CityOrlando
Period01/12/2601/16/26

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