Task Modeling for Lunar Landing Redesignation

Author(s)
Chua, Zarrin K.
Major, Laura M.
Advisor(s)
Editor(s)
Associated Organization(s)
Organizational Unit
Daniel Guggenheim School of Aerospace Engineering
The Daniel Guggenheim School of Aeronautics was established in 1931, with a name change in 1962 to the School of Aerospace Engineering
Series
Supplementary to:
Abstract
Man's return to the Moon requires advancement in landing technology to achieve safe and precise landing. The Autonomous Landing and Hazard Avoidance Technology project is developing an autonomous flight manager (AFM) to provide the capability of assisting the crew during critical landing phases, beyond the standard guidance, navigation, and control. One such phase is landing point redesignation (LPR), where the crew must select a safe landing aim point. A task model is created to analyze the functions required for the LPR task, the allocation of functions between crew and automation, and the information needed by the crew. Three bottlenecks are found in the LPR task: the inability to rapidly compare alternative aim points, the time penalty associated with changing internal mission objectives, and the hindrance of communicating such a change to the AFM. The LPR task model predicts a task execution time of 25 seconds for the best scenario, but implies design changes are necessary to improve a task execution of 5 minutes in the worst scenario. Implementation of the changes suggested in this paper will reduce crew workload and stress during lunar landing, and increase overall system risk and reliability.
Sponsor
Date
2009-04
Extent
Resource Type
Text
Resource Subtype
Paper
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