A Distributed Simulation of a Martian Fuel Production Facility University of Central Florida

Format:

Conference/Event

Author/Creator:

Loundy, Loundy, author.

Contributor:

Bandong, Khristopher

Brown, Robert

Foran, Andrew

Heinrich, Mark

Heston, Hunter

Ninah, Catherine

Rabelo, Luis

Schaefer, Louis

Steed, John-Paul

Young, William

Conference Name:

Aerospace Technology Conference & Exposition (2017-09-26 : Fort Worth, Texas, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2017

Summary:

AbstractThe future of human exploration in the solar system is contingent on the ability to exploit resources in-situ to produce mission consumables. Specifically, it has become clear that the success of a manned mission to Mars will likely depend on fuel components created on the Martian surface. While several architectures for an unmanned fuel production surface facility on Mars exist in theory, a simulation of the performance and operation of these architectures has not been created. In this paper, the framework describing a simulation of one such architecture is defined. Within this architecture, each component of the base is implemented as a state machine, with the ability to communicate with other base elements as well as a supervisor. An environment supervisor is also created which governs low level aspects of the simulation such as movement and resource distribution, in addition to higher-level aspects such as location selection with respect to operations specific behavior. This simulation will be implemented as an HLA (IEEE 1516e High Level Architecture) application, where each component of the base exists as a federate. A visualization of this simulation is created using a NASA visualization tool called DON (Distributed Observer Network). Metrics, such as fuel production throughput, are then cross validated against result data produced by a concurrent simulation project aiming to model the same scenario using different tools and methodology

Notes:

Vendor supplied data

Publisher Number:

2017-01-2022

Access Restriction:

Restricted for use by site license