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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2509.02204 |
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| _version_ | 1866911134168121344 |
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| author | Ruggiero, Dario Mancini, Mauro Capello, Elisa |
| author_facet | Ruggiero, Dario Mancini, Mauro Capello, Elisa |
| contents | This paper presents an adaptive observer-based navigation strategy for spacecraft in Circular Relative Orbit (CRO) scenarios, addressing challenges in proximity operations like formation flight and uncooperative target inspection. The proposed method adjusts observer gains based on the estimated state to achieve fast convergence and low noise sensitivity in state estimation. A Lyapunov-based analysis ensures stability and accuracy, while simulations using vision-based sensor data validate the approach under realistic conditions. Compared to classical observers with time-invariant gains, the proposed method enhances trajectory tracking precision and reduces control input switching, making it a promising solution for autonomous spacecraft localization and control. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_02204 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Adaptive Navigation Strategy for Low-Thrust Proximity Operations in Circular Relative Orbit Ruggiero, Dario Mancini, Mauro Capello, Elisa Robotics Systems and Control This paper presents an adaptive observer-based navigation strategy for spacecraft in Circular Relative Orbit (CRO) scenarios, addressing challenges in proximity operations like formation flight and uncooperative target inspection. The proposed method adjusts observer gains based on the estimated state to achieve fast convergence and low noise sensitivity in state estimation. A Lyapunov-based analysis ensures stability and accuracy, while simulations using vision-based sensor data validate the approach under realistic conditions. Compared to classical observers with time-invariant gains, the proposed method enhances trajectory tracking precision and reduces control input switching, making it a promising solution for autonomous spacecraft localization and control. |
| title | Adaptive Navigation Strategy for Low-Thrust Proximity Operations in Circular Relative Orbit |
| topic | Robotics Systems and Control |
| url | https://arxiv.org/abs/2509.02204 |