Safe On-Orbit Dislodging of Deployable Structures via Robust Adaptive MPC

Fuente: arXiv
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Auteurs principaux: Gao, Longsen, Danielson, Claus, Kwas, Andrew, Fierro, Rafael
Format: Preprint
Publié: 2025
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author Gao, Longsen
Danielson, Claus
Kwas, Andrew
Fierro, Rafael
author_facet Gao, Longsen
Danielson, Claus
Kwas, Andrew
Fierro, Rafael
contents This paper proposes a novel robust adaptive model predictive controller for on-orbit dislodging. We study orbit dislodging where a servicing spacecraft uses a robotic arm to free a jammed and unactuated solar panel mounted on a hybrid hinge that acts as a time-varying client on a space station. Our method couples online set-membership identification with a robust adaptive MPC to enforce safety under bounded disturbances. The controller explicitly balances exploration to excite the system and shrink uncertainty and exploitation to improve control performance through a dual-mode cost. The feasibility of the developed robust adaptive MPC method is also examined through dislodging simulations and hardware experiments in freefall and terrestrial laboratory environments, respectively. In addition, the advantages of our method are shown through comparison experiments with several state-of-the-art control schemes for both accuracy of parameter estimation and control performance.
format Preprint
id arxiv_https___arxiv_org_abs_2503_16849
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Safe On-Orbit Dislodging of Deployable Structures via Robust Adaptive MPC
Gao, Longsen
Danielson, Claus
Kwas, Andrew
Fierro, Rafael
Systems and Control
Robotics
This paper proposes a novel robust adaptive model predictive controller for on-orbit dislodging. We study orbit dislodging where a servicing spacecraft uses a robotic arm to free a jammed and unactuated solar panel mounted on a hybrid hinge that acts as a time-varying client on a space station. Our method couples online set-membership identification with a robust adaptive MPC to enforce safety under bounded disturbances. The controller explicitly balances exploration to excite the system and shrink uncertainty and exploitation to improve control performance through a dual-mode cost. The feasibility of the developed robust adaptive MPC method is also examined through dislodging simulations and hardware experiments in freefall and terrestrial laboratory environments, respectively. In addition, the advantages of our method are shown through comparison experiments with several state-of-the-art control schemes for both accuracy of parameter estimation and control performance.
title Safe On-Orbit Dislodging of Deployable Structures via Robust Adaptive MPC
topic Systems and Control
Robotics
url https://arxiv.org/abs/2503.16849