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Estimation of Spacecraft Inertia Tensor Using Attitude-Only Data from Torque-Free Motion — arXiv:2608.08886

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.08886
License (as archived): CC0-1.0
Archived: 2026-10-19T09:12:39.906Z
SHA-256 of the archived text: 5adc32b1e933e3b5c341ee88054ee6963546d8b4995e8251da03225d2b45367f
Stable URL of this page: https://metraipolis.com/documento/dc_fb4a67dc895c

How to cite

Estimation of Spacecraft Inertia Tensor Using Attitude-Only Data from Torque-Free Motion — arXiv:2608.08886 — arXiv (en), https://arxiv.org/abs/2608.08886 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_fb4a67dc895c (Metraipolis archive dc_fb4a67dc895c, sha256 5adc32b1e933e3b5c341ee88054ee6963546d8b4995e8251da03225d2b45367f)

BibTeX

@misc{dcfb4a67dc895c,
  title = {Estimation of Spacecraft Inertia Tensor Using Attitude-Only Data from Torque-Free Motion — arXiv:2608.08886},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.08886},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_fb4a67dc895c; sha256 5adc32b1e933e3b5c341ee88054ee6963546d8b4995e8251da03225d2b45367f},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.08886. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

We present an attitude-only framework for estimating a spacecraft's normalized inertia tensor from torque-free rotational motion. Our method supports both continuous single-arc observations and the joint use of multiple short torque-free arcs, while requiring neither gyroscope measurements nor known control torques. A Karush-Kuhn-Tucker formulation provides a fast linear initialization, which is refined by nonlinear shooting using the exact Jacobi-elliptic solution of Euler's equations and a Magnus-expansion quaternion map. Under controlled attitude noise, tests using a single 500-second arc reduced inertia-tensor error by approximately one order of magnitude relative to an Extended Kalman Filter initialized from the same estimate, while requiring nearly two orders of magnitude less computation. Joint estimation from three 100-second arcs provided a similar improvement in accuracy and remained more than one order of magnitude faster. Photorealistic proximity-operations simulations further evaluated both strategies using monocular image-derived attitudes. The 2000-second single-arc cases achieved sub-thousandth median inertia-tensor error and supported 10-hour attitude predictions with single-digit-degree median error. In three-arc cases using 30-300 seconds per arc, our method consistently outperformed the EKF refinement, with performance governed by rotational excitation and temporal sampling.

Tema degli esploratori: statistica e scienza dei dati (retro-catalogo arXiv: annunci del 2026-08-11 in cs.RO).
Categorie arXiv: Robotics (cs.RO).
Pagina del lavoro: https://arxiv.org/abs/2608.08886 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-19T09:11:58.758Z dalla pagina https://arxiv.org/catchup/cs.RO/2026-08-11?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).