Top-Level Modeling of Food Processing and Nutrition (FP &amp; amp;N) Component of Advanced Life Support System (ALSS)

Hsiang, H.; Rodríguez, L. F.; Ting, K. C.

doi:10.4271/2000-01-2262

Cited by 5 publications

(4 citation statements)

References 6 publications

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“…This module is still under development and we hope to increase fidelity by incorporating results from [8].…”

Section: Food Processing 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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“…This module is still under development and we hope to increase fidelity by incorporating results from [8].…”

Section: Food Processing Modulementioning

confidence: 99%

Simulating Advanced Life Support Systems for Integrated Controls Research

Kortenkamp¹,

Bell²

2003

SAE Technical Paper Series

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“…Levri [16][17][18] discussed the metric method and calculation procedure of equivalent system mass, which is often applied to evaluate trade study options in the advanced life-support program. Around 2000, Rodriguez [19], Goudarzi [20] and others [21,22] established the dynamic top-level models of an advanced life-support based on information entropy. Existing studies have preliminarily proved that information entropy can be used to evaluate the complexity of system structure.…”

Section: Introductionmentioning

confidence: 99%

“…Levri [ 16 , 17 , 18 ] discussed the metric method and calculation procedure of equivalent system mass, which is often applied to evaluate trade study options in the advanced life-support program. Around 2000, Rodriguez [ 19 ], Goudarzi [ 20 ] and others [ 21 , 22 ] established the dynamic top-level models of an advanced life-support system, including crew, crop, waste processing and resource recovery, food processing and nutrition. The system performance was further analyzed by coding the models.…”

Section: Introductionmentioning

confidence: 99%

Complexity Evaluation of an Environmental Control and Life-Support System Based on Directed and Undirected Structural Entropy Methods

Yang

et al. 2021

Entropy

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During manned space missions, an environmental control and life-support system (ECLSS) is employed to meet the life-supporting requirements of astronauts. The ECLSS is a type of hierarchical system, with subsystem—component—single machines, forming a complex structure. Therefore, system-level conceptual designing and performance evaluation of the ECLSS must be conducted. This study reports the top-level scheme of ECLSS, including the subsystems of atmosphere revitalization, water management, and waste management. We propose two schemes based on the design criteria of improving closure and reducing power consumption. In this study, we use the structural entropy method (SEM) to calculate the system order degree to quantitatively evaluate the ECLSS complexity at the top level. The complexity of the system evaluated by directed SEM and undirected SEM presents different rules. The results show that the change in the system structure caused by the replacement of some single technologies will not have great impact on the overall system complexity. The top-level scheme design and complexity evaluation presented in this study may provide technical support for the development of ECLSS in future manned spaceflights.

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“…These works usually quantify the system wide effect using equivalent system mass. Finally, the last group of studies consists of the top level models (Fleisher et al, 1999;Rodriguez et al, 1999;Goudarzia and Ting, 1999;Hsiang et al, 2000). In these works, the models try to capture the dynamics of each subsystem.…”

Section: Introductionmentioning

confidence: 99%

Aggregate System Level Material Analysis for Advanced Life Support Systems

Aydogan¹,

Orçun²,

Blau³

et al. 2003

SAE Technical Paper Series

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In this paper, an aggregate system level modeling and analysis framework is proposed to facilitate the integration and design of advanced life support systems (ALSS). As in process design, the goal is to choose values for the degrees of freedom that achieve the best overall ALSS behavior without violating any system constraints. At the most fundamental level, this effort will identify the constraints and degrees of freedom associated with each subsystem and provide estimates of the system behavior and interactions involved in ALSS. This work is intended to be a starting point for developing insights into ALSS from a systems engineering point of view. At this level, simple aggregate static input/output mapping subsystem models from existing data and the NASA ALS BVAD document are used to debug the model and demonstrate feasibility. Table 1. Entity and component list Entity Components Carbon dioxide Carbon Dioxide Edible Food Dry edible mass (DEM), Water Human Waste Dry solid waste (DSW), Water, Brine Non-edible Stuff Dry non-edible mass (DNEM), Water Oxygen Oxygen Raw Food DEM, DNEM, Water Waste DSW, Water, Brine Water Water Meal DEM, Water completely based on a mission scenario without leaving out any degrees of freedom. This also requires technologies to be specified in order to be able to complete the study.

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Top-Level Modeling of Food Processing and Nutrition (FP & amp;N) Component of Advanced Life Support System (ALSS)

Cited by 5 publications

References 6 publications

Simulating Advanced Life Support Systems for Integrated Controls Research

Simulating Advanced Life Support Systems for Integrated Controls Research

Complexity Evaluation of an Environmental Control and Life-Support System Based on Directed and Undirected Structural Entropy Methods

Aggregate System Level Material Analysis for Advanced Life Support Systems

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