Bioregenerative Planetary Life Support Systems Test Complex (BIO-Plex): Test Mission Objectives and Facility Development

Tri, Terry O.

doi:10.4271/1999-01-2186

Cited by 15 publications

(5 citation statements)

References 5 publications

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“…We have implemented an ALSS simulator that models the basic processes occurring in the Bioregenerative Planetary Life Support System Test Complex (BIO-Plex) developed by NASA Johnson Space Center [4], [23], [38]. This simulator is used to evaluate the candidate control strategies generated by our algorithm.…”

Section: A Alss Simulatormentioning

confidence: 99%

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Intelligent Automated Control of Life Support Systems Using Proportional Representations

Garibay²

2004

IEEE Trans. Syst., Man, Cybern. B

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Abstract-Effective automatic control of Advanced Life Support Systems (ALSS) is a crucial component of space exploration. An ALSS is a coupled dynamical system which can be extremely sensitive and difficult to predict. As a result, such systems can be difficult to control using deliberative and deterministic methods. We investigate the performance of two machine learning algorithms, a genetic algorithm (GA) and a stochastic hill-climber (SH), on the problem of learning how to control an ALSS, and compare the impact of two different types of problem representations on the performance of both algorithms. We perform experiments on three ALSS optimization problems using five strategies with multiple variations of a proportional representation for a total of 120 experiments. Results indicate that although a proportional representation can effectively boost GA performance, it does not necessarily have the same effect on other algorithms such as SH. Results also support previous conclusions [23] that multivector control strategies are an effective method for control of coupled dynamical systems.

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Section: A Alss Simulatormentioning

confidence: 99%

“…The simulator used in this paper is the ALSS, based on the NASA BioPlex simulator [38]. The ALSS is a coupled dynamical system.…”

Section: Appendix Amentioning

confidence: 99%

Intelligent Automated Control of Life Support Systems Using Proportional Representations

Garibay²

2004

IEEE Trans. Syst., Man, Cybern. B

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“…The initial size and gas composition (percentages of O 2, CO 2 , H 2 O and inert gases) are input parameters and the default size is 1.54893 x 10 6 liters (from [4]) with an atmosphere equivalent to sea level air. As the simulation progresses the composition of gases in the atmosphere changes.…”

Section: Crew Modulementioning

confidence: 99%

Simulating Advanced Life Support Systems for Integrated Controls Research

Kortenkamp¹,

Bell²

2003

SAE Technical Paper Series

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This paper describes a simulation of an integrated advanced life support system. It contains models of the major components of an Advanced Life Support (ALS) system including crew, biomass, water recovery, air revitalization, food processing and power supply. The simulation also models malfunctions and stochastic processes. Sensors and actuators are modeled to allow controllers to interact with the simulation. The simulation is designed for testing and evaluation of life support control approaches. We use an example of a simple genetic algorithm to demonstrate how a control application might use the simulation. The simulation is implemented in Java to make it portable and easy to use.

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“…The National Aeronautics and Space Agency (NASA) expects to include fluoridation in the bioregenerative life support habitats being developed for long‐duration planetary stays at destinations such as the moon or Mars (Barta and Henninger, 1994; Pitts and Drysdale, 1998; Tri, 1999). The space station crew will receive F − at a level ranging from 1.5 to 4.0 mg d −1 supplied through dental products (Lane and Rice, 1992).…”

mentioning

confidence: 99%

Biogeochemistry of Fluoride in a Plant–Solution System

2003

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Fluoride (F-) pollutants can harm plants and the animals feeding on them. However, it is largely unknown how complexing and chelating agents affect F bioavailability. Two studies were conducted that measured F- bioavailability and uptake by rice (Oryza sativa L.). In the first study, rice was grown in solution culture (pH 5.0) with 0, 2, or 4 mM F- as KF to compare the interaction of F- with humic acid (HA) and with a conventional chelating agent, N-hydroxyethylenthylenediaminetriacetic acid (HEDTA). In the second study, F was supplied at 0, 0.5, 1.0, and 2.0 mM KF with an additional 2 mM F- treatment containing solution Ca at 2x (2 mM Ca) the level used in the first study, to test the effect added Ca had on F- availability and uptake. Total biomass was greatest with HEDTA and F- < 1 mM. Leaf and stem F concentrations increased exponentially as solution F- increased linearly, with nearly no F partitioning into the seed. Results suggest that F was taken up as HF0 while F- uptake was likely restricted. Additionally, F- competed with HA for Ca, thus preventing the formation of Ca-HA flocculents. The addition of soluble Ca resulted in the precipitation of CaF2 solids on the root surface, as determined by tissue analysis and energy dispersive X-ray spectroscopy.

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Bioregenerative Planetary Life Support Systems Test Complex (BIO-Plex): Test Mission Objectives and Facility Development

Cited by 15 publications

References 5 publications

Intelligent Automated Control of Life Support Systems Using Proportional Representations

Intelligent Automated Control of Life Support Systems Using Proportional Representations

Simulating Advanced Life Support Systems for Integrated Controls Research

Biogeochemistry of Fluoride in a Plant–Solution System

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