Inertial Properties Estimation of a Passive On-orbit Object Using Polhode Analysis
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Inertial Properties Estimation of a Passive On-Orbit Object Using Polhode Analysis.pdf
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5.45 MB
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Author(s)
Setterfield, Timothy Philip
Miller, David W
Saenz Otero, Alvar
Frazzoli, Emilio
Leonard, John J
Date Issued
June 2018
Journal
Journal of Guidance, Control, and Dynamics
Publisher
American Institute of Aeronautics and Astronautics
Citation
Setterfield, Timothy P., David W. Miller, Alvar Saenz-Otero, Emilio Frazzoli, and John J. Leonard. “Inertial Properties Estimation of a Passive On-Orbit Object Using Polhode Analysis.” Journal of Guidance, Control, and Dynamics (June 29, 2018): 1–18.
Version
Author's final manuscript
Abstract
Many objects in space are passive, with unknown inertial properties. If attempting to dock autonomously to an uncooperative object (one not equipped with working sensors or actuators), a motion model is required to predict the location of the desired docking location into the future. Additionally, for cooperative satellites that failed to deploy hardware, accurate knowledge of the object’s principal axes and inertia ratios may aid in diagnosing the problem. This paper develops algorithms for estimation of the analytical motion model, principal axes, and inertia ratios of a passive on-orbit object. The polhode of the object is estimated visually (for uncooperative targets) or with gyroscopes (for cooperative targets). Estimation of the principal axes is performed by calculating the body frame orientation for which ellipses and hyperbolas optimally fit the projections of the polhode onto the principal planes. Given the polhode in the object’s body frame, constraints are used to restrict the feasible inertia ratios to a single degree of freedom. Constrained optimization is then used to estimate the inertia ratios. The algorithms are validated using visual and gyroscope data from the SPHERES-VERTIGO test platform on the ISS and visual data from simulation.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Mechanical Engineering
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DOI of Published Version
https://doi.org/10.2514/1.G003394
