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Massachusetts Institute of Technology

Technology selection and architecture optimization of in-situ resource utilization systems

Abstract

dc:description.abstract

This paper discusses an approach to exploring the conceptual design space of large-scale, complex electromechanical systems that are technologically immature. A modeling framework that addresses the fluctuating architectural landscape (an inherent feature of developing technology systems) is applied to the design of a lunar in-situ resource utilization (ISRU) oxygen plant. Four optimization methods using genetic algorithms are compared on both a quadratic-based test function and the ISRU plant design with the goal of balancing the resources spent on exploiting individual architectures and exploring a broad selection of architectures. These include two dual-level approaches that address the discrete architecture design space differently from the continuous sizing design space and two combinatorial approaches that address both the discrete and continuous simultaneously. It was found that the single-level, combinatorial approaches worked better on the real-world ISRU case study, providing a balance between computation time spent on optimizing sizing and performance of each architecture and time spent searching a large number of architectures. For the ISRU architecture search, the single-level approaches on average covered ~300 architectures with ~5000 function evaluations. A heuristic-based dual-level approach covered ~266 architectures with ~5,500 function evaluations.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2009

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chepko, Ariane (Ariane Brooke)
Advisor dc:contributor.advisor
  • Olivier de Weck.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/50605
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/50605

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Chepko, Ariane (Ariane Brooke). Technology selection and architecture optimization of in-situ resource utilization systems. Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/50605