Rule-Based System Architecting of Earth Observing Systems: Earth Science Decadal Survey
This paper presents a methodology to explore the architectural trade space of Earth observing satellite systems, and applies it to the Earth Science Decadal Survey. The architecting problem is formulated as a combinatorial optimization problem with three sets of architectural decisions: instrument s...
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| Format: | Article |
| Language: | en_US |
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American Institute of Aeronautics and Astronautics
2015
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| Online Access: | http://hdl.handle.net/1721.1/96924 https://orcid.org/0000-0002-7618-5182 |
| _version_ | 1826214842297483264 |
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| author | Selva, Daniel Crawley, Edward F. Cameron, Bruce Gregory |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Selva, Daniel Crawley, Edward F. Cameron, Bruce Gregory |
| author_sort | Selva, Daniel |
| collection | MIT |
| description | This paper presents a methodology to explore the architectural trade space of Earth observing satellite systems, and applies it to the Earth Science Decadal Survey. The architecting problem is formulated as a combinatorial optimization problem with three sets of architectural decisions: instrument selection, assignment of instruments to satellites, and mission scheduling. A computational tool was created to automatically synthesize architectures based on valid combinations of options for these three decisions and evaluate them according to several figures of merit, including satisfaction of program requirements, data continuity, affordability, and proxies for fairness, technical, and programmatic risk. A population-based heuristic search algorithm is used to search the trade space. The novelty of the tool is that it uses a rule-based expert system to model the knowledge-intensive components of the problem, such as scientific requirements, and to capture the nonlinear positive and negative interactions between instruments (synergies and interferences), which drive both requirement satisfaction and cost. The tool is first demonstrated on the past NASA Earth Observing System program and then applied to the Decadal Survey. Results suggest that the Decadal Survey architecture is dominated by other more distributed architectures in which DESDYNI and CLARREO are consistently broken down into individual instruments. |
| first_indexed | 2024-09-23T16:12:01Z |
| format | Article |
| id | mit-1721.1/96924 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:12:01Z |
| publishDate | 2015 |
| publisher | American Institute of Aeronautics and Astronautics |
| record_format | dspace |
| spelling | mit-1721.1/969242022-09-29T18:54:31Z Rule-Based System Architecting of Earth Observing Systems: Earth Science Decadal Survey Selva, Daniel Crawley, Edward F. Cameron, Bruce Gregory Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Engineering Systems Division Selva, Daniel Cameron, Bruce Gregory Crawley, Edward F. This paper presents a methodology to explore the architectural trade space of Earth observing satellite systems, and applies it to the Earth Science Decadal Survey. The architecting problem is formulated as a combinatorial optimization problem with three sets of architectural decisions: instrument selection, assignment of instruments to satellites, and mission scheduling. A computational tool was created to automatically synthesize architectures based on valid combinations of options for these three decisions and evaluate them according to several figures of merit, including satisfaction of program requirements, data continuity, affordability, and proxies for fairness, technical, and programmatic risk. A population-based heuristic search algorithm is used to search the trade space. The novelty of the tool is that it uses a rule-based expert system to model the knowledge-intensive components of the problem, such as scientific requirements, and to capture the nonlinear positive and negative interactions between instruments (synergies and interferences), which drive both requirement satisfaction and cost. The tool is first demonstrated on the past NASA Earth Observing System program and then applied to the Decadal Survey. Results suggest that the Decadal Survey architecture is dominated by other more distributed architectures in which DESDYNI and CLARREO are consistently broken down into individual instruments. "La Caixa" Foundation Charles Stark Draper Laboratory Goddard Space Flight Center 2015-05-07T12:53:53Z 2015-05-07T12:53:53Z 2014-03 2013-09 Article http://purl.org/eprint/type/JournalArticle 0022-4650 1533-6794 http://hdl.handle.net/1721.1/96924 Selva, Daniel, Bruce G. Cameron, and Edward F. Crawley. “Rule-Based System Architecting of Earth Observing Systems: Earth Science Decadal Survey.” Journal of Spacecraft and Rockets 51, no. 5 (September 2014): 1505–1521. https://orcid.org/0000-0002-7618-5182 en_US http://dx.doi.org/10.2514/1.a32656 Journal of Spacecraft and Rockets Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf American Institute of Aeronautics and Astronautics MIT web domain |
| spellingShingle | Selva, Daniel Crawley, Edward F. Cameron, Bruce Gregory Rule-Based System Architecting of Earth Observing Systems: Earth Science Decadal Survey |
| title | Rule-Based System Architecting of Earth Observing Systems: Earth Science Decadal Survey |
| title_full | Rule-Based System Architecting of Earth Observing Systems: Earth Science Decadal Survey |
| title_fullStr | Rule-Based System Architecting of Earth Observing Systems: Earth Science Decadal Survey |
| title_full_unstemmed | Rule-Based System Architecting of Earth Observing Systems: Earth Science Decadal Survey |
| title_short | Rule-Based System Architecting of Earth Observing Systems: Earth Science Decadal Survey |
| title_sort | rule based system architecting of earth observing systems earth science decadal survey |
| url | http://hdl.handle.net/1721.1/96924 https://orcid.org/0000-0002-7618-5182 |
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