A risk-aware architecture for resilient spacecraft operations
In this paper we discuss a resilient, risk-aware software architecture for onboard, real-time autonomous operations that is intended to robustly handle uncertainty in space-craft behavior within hazardous and unconstrained environments, without unnecessarily increasing complexity. This architecture,...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2017
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| Online Access: | http://hdl.handle.net/1721.1/108617 https://orcid.org/0000-0002-1057-3940 |
| _version_ | 1811070866785566720 |
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| author | McGhan, Catharine L. R. Murray, Richard M. Serra, Romain Ingham, Michel D. Ono, Masahiro Estlin, Tara Williams, Brian C |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics McGhan, Catharine L. R. Murray, Richard M. Serra, Romain Ingham, Michel D. Ono, Masahiro Estlin, Tara Williams, Brian C |
| author_sort | McGhan, Catharine L. R. |
| collection | MIT |
| description | In this paper we discuss a resilient, risk-aware software architecture for onboard, real-time autonomous operations that is intended to robustly handle uncertainty in space-craft behavior within hazardous and unconstrained environments, without unnecessarily increasing complexity. This architecture, the Resilient Spacecraft Executive (RSE), serves three main functions: (1) adapting to component failures to allow graceful degradation, (2) accommodating environments, science observations, and spacecraft capabilities that are not fully known in advance, and (3) making risk-aware decisions without waiting for slow ground-based reactions. This RSE is made up of four main parts: deliberative, habitual, and reflexive layers, and a state estimator that interfaces with all three. We use a risk-aware goal-directed executive within the deliberative layer to perform risk-informed planning, to satisfy the mission goals (specified by mission control) within the specified priorities and constraints. Other state-of-the-art algorithms to be integrated into the RSE include correct-by-construction control synthesis and model-based estimation and diagnosis. We demonstrate the feasibility of the architecture in a simple implementation of the RSE for a simulated Mars rover scenario. |
| first_indexed | 2024-09-23T08:42:53Z |
| format | Article |
| id | mit-1721.1/108617 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T08:42:53Z |
| publishDate | 2017 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1086172022-09-23T14:04:07Z A risk-aware architecture for resilient spacecraft operations McGhan, Catharine L. R. Murray, Richard M. Serra, Romain Ingham, Michel D. Ono, Masahiro Estlin, Tara Williams, Brian C Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Williams, Brian C In this paper we discuss a resilient, risk-aware software architecture for onboard, real-time autonomous operations that is intended to robustly handle uncertainty in space-craft behavior within hazardous and unconstrained environments, without unnecessarily increasing complexity. This architecture, the Resilient Spacecraft Executive (RSE), serves three main functions: (1) adapting to component failures to allow graceful degradation, (2) accommodating environments, science observations, and spacecraft capabilities that are not fully known in advance, and (3) making risk-aware decisions without waiting for slow ground-based reactions. This RSE is made up of four main parts: deliberative, habitual, and reflexive layers, and a state estimator that interfaces with all three. We use a risk-aware goal-directed executive within the deliberative layer to perform risk-informed planning, to satisfy the mission goals (specified by mission control) within the specified priorities and constraints. Other state-of-the-art algorithms to be integrated into the RSE include correct-by-construction control synthesis and model-based estimation and diagnosis. We demonstrate the feasibility of the architecture in a simple implementation of the RSE for a simulated Mars rover scenario. 2017-05-02T20:37:38Z 2017-05-02T20:37:38Z 2015-06 2015-03 Article http://purl.org/eprint/type/ConferencePaper 978-1-4799-5379-0 978-1-4799-5380-6 http://hdl.handle.net/1721.1/108617 .McGhan, Catharine L. R. et al. “A Risk-Aware Architecture for Resilient Spacecraft Operations.” 2015 IEEE Aerospace Conference, 7-14 March, 2015, Big Sky, MT, USA, IEEE, 2015. 1–15. https://orcid.org/0000-0002-1057-3940 en_US http://dx.doi.org/10.1109/AERO.2015.7119035 2015 IEEE Aerospace Conference Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Other univ. web domain |
| spellingShingle | McGhan, Catharine L. R. Murray, Richard M. Serra, Romain Ingham, Michel D. Ono, Masahiro Estlin, Tara Williams, Brian C A risk-aware architecture for resilient spacecraft operations |
| title | A risk-aware architecture for resilient spacecraft operations |
| title_full | A risk-aware architecture for resilient spacecraft operations |
| title_fullStr | A risk-aware architecture for resilient spacecraft operations |
| title_full_unstemmed | A risk-aware architecture for resilient spacecraft operations |
| title_short | A risk-aware architecture for resilient spacecraft operations |
| title_sort | risk aware architecture for resilient spacecraft operations |
| url | http://hdl.handle.net/1721.1/108617 https://orcid.org/0000-0002-1057-3940 |
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