Real-Time Retargeting Using Controllability Boundary for Chandrayaan-3 Lunar Landing
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866914612554760192 |
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| author | Kumar, Suraj Chakrabarti, Debjyoti Rallapalli, Aditya GVP, Bharat Kumar Kakula, Ashok Kumar |
| author_facet | Kumar, Suraj Chakrabarti, Debjyoti Rallapalli, Aditya GVP, Bharat Kumar Kakula, Ashok Kumar |
| contents | This paper presents the real-time retargeting guidance policy developed for the Chandrayaan-3 lunar landing mission. The baseline guidance generates approximate fuel-optimal descent trajectories, while a high-level policy enables safe retargeting to alternate sites when the nominal site becomes infeasible. The retargeting strategy leverages a convex representation of the controllability boundary, allowing rapid feasibility checks and real-time target updates. To the best of the authors knowledge, this represents the first application of a data-driven retargeting framework in an operational lunar landing mission. Pre-flight simulations and Chandrayaan-3 flight results validate the effectiveness of the proposed approach. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_29412 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Real-Time Retargeting Using Controllability Boundary for Chandrayaan-3 Lunar Landing Kumar, Suraj Chakrabarti, Debjyoti Rallapalli, Aditya GVP, Bharat Kumar Kakula, Ashok Kumar Systems and Control Machine Learning This paper presents the real-time retargeting guidance policy developed for the Chandrayaan-3 lunar landing mission. The baseline guidance generates approximate fuel-optimal descent trajectories, while a high-level policy enables safe retargeting to alternate sites when the nominal site becomes infeasible. The retargeting strategy leverages a convex representation of the controllability boundary, allowing rapid feasibility checks and real-time target updates. To the best of the authors knowledge, this represents the first application of a data-driven retargeting framework in an operational lunar landing mission. Pre-flight simulations and Chandrayaan-3 flight results validate the effectiveness of the proposed approach. |
| title | Real-Time Retargeting Using Controllability Boundary for Chandrayaan-3 Lunar Landing |
| topic | Systems and Control Machine Learning |
| url | https://arxiv.org/abs/2605.29412 |