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Using Dynamic Simulations and Automated Decision Tools to Design Lunar Habitats
Technical Paper
2005-01-3011
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper describes the role of transient simulations, heuristic techniques, and closed loop integrated control in designing and sizing habitat life support systems. The integration of these three elements allows for more accurate requirements to be derived in advance of hardware choices. As a test case, we used a typical lunar surface habitat. Large numbers of habitat configurations were rapidly tested and evaluated using automated decision support tools. Through this process, preliminary sizing for habitat life support systems were derived. Our preliminary results show that by using transient simulations and closed loop control, we substantially reduced the system mass required to meet mission goals. This has greater implications for general systems analyses and for life support systems. It is likely that transient models, real-time integrated control, and other analyses capable of capturing the uncertainties of systems can be useful for systems analyses much earlier in the system development life cycle than has previously been considered.
Authors
Citation
Bell, S., Rodriguez, L., and Kortenkamp, D., "Using Dynamic Simulations and Automated Decision Tools to Design Lunar Habitats," SAE Technical Paper 2005-01-3011, 2005, https://doi.org/10.4271/2005-01-3011.Also In
References
- Yeh, H.Y. Brown C. Jeng F. Lin C. Ewert M. “ALSSAT Development Status and its Applications in Trade Studies,” Proceedings of the 34 th International Conference on Environmental Systems 2004
- Kortenkamp, D. Bell S. Rodriguez L. “Simulating Lunar Habitats and Activities to Derive System Requirements,” Proceedings of the First AIAA Space Exploration Conference 2005
- Holland, J. Adaptation in Natural and Artificial Systems University of Michigan Press 1975 Ann Arbor MI
- Klien, T. Subramanian D. Kortenkamp D. Bell S. “Using Reinforcement Learning to Control Life Support Systems,” Proceedings of the 34 th International Conference on Environmental Systems 2004
- Kortenkamp, D. Bell S. “Simulating advanced life support systems for integrated controls research,” Proceedings of the 33 rd International Conference on Environmental Systems 2003
- Jones H. W. “Transient Modeling of ALS Systems,” Proceedings of the 33 rd International Conference on Environmental Systems 2003
- Jones, H. W. “Survey of Modeling Failures, Transients, and Nonlinearities in Advanced Life Support Systems,” Proceedings of the 31 st International Conference on Environmental Systems 2001
- Jones, H. W. “Nonlinear Transient Models in Life Support,” Proceedings of the 32 nd International Conference on Environmental Systems 2002
- Edeen, M. et al “Modeling and Validation of the Ambient and Variable Pressure Growth Chamber Models,” SAE Technical Paper Series 932171 1993
- Finn, C. K. “Dynamic System Modeling of Regenerative Life Support Systems,” 29 th International Conference on Environmental Systems SAE paper 1999-01-2040
- Ordonez, Luis Lasseur C. Poughon L. Waters G. “MELiSSA Higher Plants Compartment Modeling Using EcosimPro,” Proceedings of the 2004 International Conference on Environmental Systems SAE paper 2004-01-2351 2004
- Haldar A. Mahadevan S. Probability and Statistical Methods in Engineering Design John Wiley & Sons, Inc. New York 2000
- Ang A. H-S. Tang W. H. Probability Concepts in Engineering Planning and Design Volume II Decision, Risk, and Reliability John Wiley & Sons, Inc. New York 1984
- Sutton, R. Barto A. Reinforcement Learning: An Introduction MIT Press Cambridge, MA 1988
- Nilsson, N. Principles of Artificial Intelligence Tioga Publishing Company Palo Alto, CA 1980
- Levri et al. “Advanced Life Support Equivalent System Mass Guidelines Document” NASA ARC NASA/TM-2003-212278 September 2003
- Hanford, T. “Transient Modeling Challenge: A Lunar Reference Mission for a 90-Day Habitat,” NASA JSC Draft Document 2004
- Abdelwahed, S. Wu J. Biswas G. Ramirez J. Manders E. “Online Fault Adaptive Control for Efficient Resource Mangement in Advanced Life Support Systems,” Habitation: International Journal for Human Support Research 10 2 105 116 2005
- Bonasso, R.P. Kortenkamp D. Thronesbery C. “Intelligent Control of a Water-Recovery System,” AI Magazine 24 1 19 44 2003
- Hanford A. J. “Advanced Life Support Baseline Values and Assumptions Document,” NASA JSC CTSD-ADV-484 A, JSC 47804, NASA CR-2004-208941 August 2004