This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Planner-Based Control of Advanced Life Support Systems
Technical Paper
2005-01-2961
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
The paper describes an approach to the integration of qualitative and quantitative modeling techniques for advanced life support (ALS) systems. Developing reliable control strategies that scale up to fully integrated life support systems requires augmenting quantitative models and control algorithms with the abstractions provided by qualitative, symbolic models and their associated high-level control strategies. This will allow for effective management of the combinatorics due to the integration of a large number of ALS subsystems. By focusing control actions at different levels of detail and reactivity we can use faster, simpler responses at the lowest level and predictive but complex responses at the higher levels of abstraction. In particular, methods from model-based planning and scheduling can provide effective resource management over long time periods. We describe a reference implementation of an advanced control system using the IDEA control architecture developed at NASA Ames Research Center. IDEA uses planning/scheduling as the sole reasoning method for predictive and reactive closed loop control. We describe preliminary experiments in planner-based control of ALS carried out on an integrated ALS simulation developed at NASA Johnson Space Center.
Authors
Citation
Muscettola, N., Kortenkamp, D., Fry, C., and Bell, S., "Planner-Based Control of Advanced Life Support Systems," SAE Technical Paper 2005-01-2961, 2005, https://doi.org/10.4271/2005-01-2961.Also In
References
- Leon Jorge Kortenkamp David Schreckenghost Debra “A Planning, Scheduling and Control Architecture for Advanced Life Support Systems,” Proceedings of the NASA Workshop on Planning and Scheduling in Space 1997
- Kortenkamp David Bonasso R. Peter Subramanian Devika “Distributed, Autonomous Control of Space Habitats,” IEEE Aerospace Conference 2001
- Schreckenghost, Debra Thronesbery Carroll Bonasso R. Peter Kortenkamp David Martin Cheryl “Intelligent Control of Life Support for Space Missions,” IEEE Intelligent Systems Magazine 17 5 September October 2002
- Schreckenghost Debra Edeen Mary Beth Bonasso R. Peter Erickson Jon “Intelligent Control of the Product Gas Transfer for Air Revitalization,” Proceedings of the 28 th Conference on Environmental Systems 1998
- Bonasso R. P. Kortenkamp David Thronesbery Carroll Intelligent Control of a Water Recovery System AI Magazine 24 1 Spring 2003
- Muscettola, N. P. Nayak Pandurang Pell B. Williams B. “Remote Agent: To Boldly Go Where No AI System Has Gone Before,” Artificial Intelligence 103 1 5 47 1998
- Bresina John Jonsson Ari Morris Paul Rajan Kanna “Activity Planning for Mars Exploration Rovers” Proceedings of 15th International Conference on Automated Planning and Scheduling (ICAPS) 2005
- Abdelwahed, S. Wu J. Biswas G. Ramirez J. Manders E. J. “Online Fault Adaptive Control for Efficient Resource Management in Advanced Life Support Systems,” Habitation: International Journal for Human Support Research 10 2 105 116 2005
- Finn, Cory K. “Dynamic System Modeling of Regenerative Life Support Systems,” 29 th International Conference on Environmental Systems , SAE paper 1999-01-2040
- Kuipers Benjamin Qualitative Reasoning: Modeling and Simulation with Incomplete Knowledge MIT Press Cambridge MA 1994
- Kortenkamp David Bell Scott “Simulating Advanced Life Support Systems for Integrated Controls Research,” 33 rd International Conference on Environmental Systems , SAE paper 2003-01-2546 2003
- Hanford, T. “Transient Modeling Challenge: A Lunar Reference Mission for a 90-Day Habitat,” NASA JSC Draft Document 2004
- Smith David E. Frank Jeremy Jonsson Ari K. “Bridging the Gap Between Planning and Scheduling,” Knowledge Engineering Review 15 1 2000
- Fox M. Long D. “PDDL+: Modeling continuous time dependent effects,” Proceedings of the 3rd International NASA Workshop on Planning and Scheduling for Space
- Ghallab M. Howe A. Knoblock C. McDermott D. Ram A. Weld D. Wilkins D. “PDDL - The Planning Domain Definition Language,” Technical Report, Yale Center for Computational Vision and Control http://ftp.cs.yale.edu/pub/mcdermott/software/pddl.tar.gz 1998
- McDermott Drew “The 1998 AI Planning Systems Competition,” AI Magazine 21 2 2000
- Muscettola, N. Dorais, G. A. Fry, C. Levinson, R. Plaunt, C. IDEA: Planning at the core of autonomous reactive agents Proc. 3rd Int. NASA WS on Planning and Scheduling for Space 2002
- Frank Jeremy Jonsson Ari K. “Constraint-based Attribute and Interval Planning” Constraints 8 4 339 364 2003