A multi-level approach to enhancing information exchange for the 2011 Mars Science Laboratory mission
Abstract
The Mars Science Laboratory (MSL), set to launch in 2011, is a highly advanced, fission powered version of the successful and long lasting Mars Exploration Rover (MER). Compared to MER-class of rovers, MSL will be able to conduct surface operations for longer periods of time, possess enhanced science payload functionality, and traverse and operate without restrictions of a solar powered vehicle. These new capabilities, however, may be impeded by the need to have science and engineering instructions sent on a daily (and sometimes shorter) time window. This need must be fulfilled concurrently with the requirement that the commands transmitted to MSL take full advantage of the payload and time allotted to complete its tasks. Operating MSL with the infrastructure and operational scheme of the MER mission would result in an under-utilization of science resources and missed opportunities in use of surface operations time. The purpose of this thesis is twofold. First, the differences between information architectures of the MER and MSL missions are analyzed so that the necessary and unique requirements for the MSL mission are highlighted. An optimization problem is solved that allows for the utility of specific payload suites to be analyzed. These requirements will generate a high quality, persisting, and cyclic of science data return with minimal cost as the mission evolves through its lifetime. Secondly, System-of-Systems nomenclature and methodology is utilized to identify resources, stakeholders, drivers, and disruptors that are present in the Earth-Mars information trade space and which must be addressed for comprehensive design of MSL operations.
Degree
M.S.E.
Advisors
DeLaurentis, Purdue University.
Subject Area
Engineering|Systems science|Operations research
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