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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2510.16738 |
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| _version_ | 1866915563061641216 |
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| author | El-Hariry, Matteo Franzese, Vittorio Olivares-Mendez, Miguel |
| author_facet | El-Hariry, Matteo Franzese, Vittorio Olivares-Mendez, Miguel |
| contents | This paper presents a comprehensive analysis of how excitation design influences the identification of the inertia properties of rigid nano- and micro-satellites. We simulate nonlinear attitude dynamics with reaction-wheel coupling, actuator limits, and external disturbances, and excite the system using eight torque profiles of varying spectral richness. Two estimators are compared, a batch Least Squares method and an Extended Kalman Filter, across three satellite configurations and time-varying inertia scenarios. Results show that excitation frequency content and estimator assumptions jointly determine estimation accuracy and robustness, offering practical guidance for in-orbit adaptive inertia identification by outlining the conditions under which each method performs best. The code is provided as open-source . |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_16738 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards Active Excitation-Based Dynamic Inertia Identification in Satellites El-Hariry, Matteo Franzese, Vittorio Olivares-Mendez, Miguel Robotics This paper presents a comprehensive analysis of how excitation design influences the identification of the inertia properties of rigid nano- and micro-satellites. We simulate nonlinear attitude dynamics with reaction-wheel coupling, actuator limits, and external disturbances, and excite the system using eight torque profiles of varying spectral richness. Two estimators are compared, a batch Least Squares method and an Extended Kalman Filter, across three satellite configurations and time-varying inertia scenarios. Results show that excitation frequency content and estimator assumptions jointly determine estimation accuracy and robustness, offering practical guidance for in-orbit adaptive inertia identification by outlining the conditions under which each method performs best. The code is provided as open-source . |
| title | Towards Active Excitation-Based Dynamic Inertia Identification in Satellites |
| topic | Robotics |
| url | https://arxiv.org/abs/2510.16738 |