Magnetic manipulation of unknown and complex conductive nonmagnetic objects with application in the remediation of space debris

This article extends recent work in magnetic manipulation of conductive, nonmagnetic objects using rotating magnetic dipole fields. Eddy-current-based manipulation provides a contact-free way to manipulate metallic objects. We are particularly motivated by the large amount of aluminum in space debris. We previously demonstrated dexterous manipulation of solid spheres with all object parameters known a priori. This work expands the previous model, which contained three discrete modes, to a continuous model that covers all possible relative positions of the manipulated spherical object with respect to the magnetic field source. We further leverage this new model to examine manipulation of spherical objects with unknown physical parameters by applying techniques from the online-optimization and adaptive-control literature. Our experimental results validate our new dynamics model, showing that we get improved performance compared to the previously proposed model, while also solving a simpler optimization problem for control. We further demonstrate the first physical magnetic manipulation of aluminum spheres, as previous controllers were only physically validated on copper spheres. We show that our adaptive control framework can quickly acquire useful object parameters when weakly initialized. Finally, we demonstrate that the spherical-object model can be used as an approximate model for adaptive control of nonspherical objects by performing magnetic manipulation of a variety of objects for which a spherical model is not an obvious approximation.

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Institutions

Publication Details

Journal
The International Journal of Robotics Research
Published
2024-11-25
DOI
https://doi.org/10.1177/02783649241300167
Citations
2
Primary Topic
Space Satellite Systems and Control
Type
article
Field-Weighted Citation Impact
2.60

Funders

Controls
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article

Magnetic manipulation of unknown and complex conductive nonmagnetic objects with application in the remediation of space debris

Tucker Hermans, Griffin F. Tabor, Jake J. Abbott, Lan N. Pham
2 citations
The International Journal of Robotics Research
Space Satellite Systems and Control
2.60
article

Magnetic manipulation of unknown and complex conductive nonmagnetic objects with application in the remediation of space debris

Tucker Hermans, Griffin F. Tabor, Jake J. Abbott, Lan N. Pham
article en
2 citations

Abstract

This article extends recent work in magnetic manipulation of conductive, nonmagnetic objects using rotating magnetic dipole fields. Eddy-current-based manipulation provides a contact-free way to manipulate metallic objects. We are particularly motivated by the large amount of aluminum in space debris. We previously demonstrated dexterous manipulation of solid spheres with all object parameters known a priori. This work expands the previous model, which contained three discrete modes, to a continuous model that covers all possible relative positions of the manipulated spherical object with respect to the magnetic field source. We further leverage this new model to examine manipulation of spherical objects with unknown physical parameters by applying techniques from the online-optimization and adaptive-control literature. Our experimental results validate our new dynamics model, showing that we get improved performance compared to the previously proposed model, while also solving a simpler optimization problem for control. We further demonstrate the first physical magnetic manipulation of aluminum spheres, as previous controllers were only physically validated on copper spheres. We show that our adaptive control framework can quickly acquire useful object parameters when weakly initialized. Finally, we demonstrate that the spherical-object model can be used as an approximate model for adaptive control of nonspherical objects by performing magnetic manipulation of a variety of objects for which a spherical model is not an obvious approximation.

The International Journal of Robotics ResearchVol. 44(7)
University of Utah (US), Nvidia (United States) (US)
National Science Foundation, Air Force Research Laboratory
Openalex Percentile: Top 8%
Space Satellite Systems and Control
2.60
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