Simultaneous Estimation of Attitude Motion and Inertia Properties for Debris Removal

Recent debris removal inevitably relies heavily on the motion estimation of the target debris, i.e., an uncooperated body. Reliable and robust capture during proximity operation is key for debris removal. This paper first provides an innovative strategy, contactless and multiple debris removal in a single flight, as an introduction to show the context behind it. This study presents a new method for the direct estimation of both dynamic attitude motion and inertia properties, excluding reliance on a priori information. The authors have so far presented a fraction of the simulation results without describing the mathematical process in detail. This paper, for the first time, provides a concrete description of the proposed method.

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Publication Details

Journal
Journal of Guidance Control and Dynamics
Published
2025-02-12
DOI
https://doi.org/10.2514/1.g008339
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
0.00

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article

Simultaneous Estimation of Attitude Motion and Inertia Properties for Debris Removal

Tetsuya Kusumoto, Jun’ichiro Kawaguchi
Journal of Guidance Control and Dynamics
Inertial Sensor and Navigation
article

Simultaneous Estimation of Attitude Motion and Inertia Properties for Debris Removal

Tetsuya Kusumoto, Jun’ichiro Kawaguchi
article en

Abstract

Recent debris removal inevitably relies heavily on the motion estimation of the target debris, i.e., an uncooperated body. Reliable and robust capture during proximity operation is key for debris removal. This paper first provides an innovative strategy, contactless and multiple debris removal in a single flight, as an introduction to show the context behind it. This study presents a new method for the direct estimation of both dynamic attitude motion and inertia properties, excluding reliance on a priori information. The authors have so far presented a fraction of the simulation results without describing the mathematical process in detail. This paper, for the first time, provides a concrete description of the proposed method.

Journal of Guidance Control and DynamicsVol. 48(3)
Australian National University (AU), The University of Tokyo (JP)
Institute of Space and Astronautical Science
Openalex Percentile: Top 97%
Inertial Sensor and Navigation
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Simultaneous Estimation of Attitude Motion and Inertia Properties for Debris Removal — Tetsuya Kusumoto, Jun’ichiro Kawaguchi · Journal of Guidance Control and Dynamics (2025) | TGRS Research Map | TGRS