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Daniel Guggenheim School of Aerospace Engineering
Daniel Guggenheim School of Aerospace Engineering
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ItemIAD wind-tunnel test data analysis & IAD structural modeling(Georgia Institute of Technology, 2010-12-31) Jagoda, Jechiel I. ; Tanner, Chris ; Braun, Robert D.
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ItemSubgrid combustion modeling for the next generation national combustion ...(Georgia Institute of Technology, 2010-12-31) Menon, Suresh ; Sen, Baris A. ; Srinivasan, Srikant ; Smith, Andrew
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ItemAdaptive control of a slender launch vehicle(Georgia Institute of Technology, 2010-12-30) Calise, Anthony J. ; Craig, James I.
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ItemQuantitative Assessment of Human Control on Landing Trajectory Design(Georgia Institute of Technology, 2010-12-02) Chua, Zarrin K.An increased thirst for scientific knowledge and a desire to advance humanity's presence in space prompts the need for improved technology to send crewed vehicles to places such as the Moon, Mars, and nearby passing asteroids. Landing at any of these locations will require vehicle capabilities greater than that previously used during the Apollo program or those applied in Low Earth Orbit. In particular, the vehicle and the on-board crew must be capable of executing precision landing in sub-optimal landing conditions during time-critical, high-stakes mission scenarios, such as Landing Point Designation (LPD) , or the critical phase of determining the vehicle's final touchdown point. Most proposed solutions involve automated control of landing vehicles, accepting no input from the on-board crew - effectively relegating them to payload. While this method is satisfactory for some missions, an automation-only approach during this critical mission phase may be placing the system at a disadvantage by neglecting the human capability of [what?]. Therefore, the landing system may result in a lack of dynamic flexibility to unexpected landing terrain or in-flight events. It is likely that executing LPD will require an ideal distribution of authority between the on-board crew and an automated landing system. However, this distribution is application-specific and not easily calculated. Current science does not provide enough detailed or explicit theories regarding allocation of automation, and the advantages provided by biological and digital pilots (either acting as the sole authoritarian or as a coordinated team) are difficult to describe in quantitative measures. Despite previous experience in piloting vehicles on the Moon, few cognitive models describing the decision-making process exist. The specialization of the pilot and the application pose significant practical challenges in regular observations in the target environment. The lack of quantitative knowledge results in predominantly qualitative design trade-offs during pre-mission planning. While qualitative analyses have proven to be useful to the mission designer, an understanding founded on quantitative metrics regarding the relationship between human control and mission design will provide the sufficient supplementary information necessary for overall success. In particular, increased knowledge of the impact of human control on landing trajectory design would allow for more efficient and thorough conceptual mission planning. This knowledge would allow visualization of the flight envelope possible for various degrees of human control and help establish conceptual estimations of critical mission parameters such as fuel consumption or task completion time. This report details an experiment undertaken to further understanding of the impact of moderate degrees of human control on landing trajectory design or vice versa during LPD. This report briefly summarizes current understanding and modeling of moderate control during LPD and similar applications, reviews previous and current efforts in implementing LPD, examines the pilot study to observe subjects in a simulated LPD task, and discusses the significance of findings from the pilot study.
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ItemCross-flow dilution air jet studies(Georgia Institute of Technology, 2010-12-01) Seitzman, Jerry M. ; Lieuwen, Timothy C. ; Wilde, Ben ; Noble, Bobby
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ItemDetection and control of instabilities and blowoff for low emissions combustors(Georgia Institute of Technology, 2010-12) Seitzman, Jerry M.
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ItemTurbulent flame speed measurements and modeling of syngas fuels(Georgia Institute of Technology, 2010-11-30) Seitzman, Jerry M. ; Lieuwen, Timothy C.
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ItemRobust trajectory optimization in multi-body environments(Georgia Institute of Technology, 2010-11-01) Russell, Ryan
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ItemMethodology to support dynamic function allocation polices between humans and flight deck automation(Georgia Institute of Technology, 2010-09-30) Johnson, Eric N.
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ItemFlight mechanics and control oriented modeling for next generation on-blade control concepts(Georgia Institute of Technology, 2010-08-30) Prasad, Jonnalagadda V. R. ; Sankar, Lakshmi N.