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Daniel Guggenheim School of Aerospace Engineering

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Now showing 1 - 4 of 4
  • Item
    Coherent design of uninhabited aerial vehicle operations and control stations
    (Georgia Institute of Technology, 2006-05-22) Gonzalez Castro, Luis Nicolas
    This work presents the application of a cognitive engineering design method to the design of operational procedures and ground control station interfaces for uninhabited aerial vehicles (UAVs). Designing for UAV systems presents novel challenges, both in terms of selecting and presenting adequate information for effective teleoperation, and in creating operational procedures and ground control station interfaces that are robust to a range of UAV platforms and missions. Creating a coherent set of operating procedures, automatic functions and operator interfaces requires a systematic design approach that considers the system and the mission at different levels of abstraction and integrates the different element of the system. Several models are developed through the application of this cognitive engineering method. An analysis of the work of operating a UAV creates an abstraction decomposition space (ADS) model. The ADS helps identify the control tasks needed to operate the system. A strategies analysis then identifies methods for implementing these control tasks. The distribution of activities and roles between the human and automated components in the system is then considered in a social organization and cooperation analysis. These insights are applied to the design of coherent sets of operational procedures, ground control station interfaces and automatic functions for a specific UAV in support of a continuous target surveillance (CTS) mission. The importance of the coherence provided by the selected design method in the design of UAV operational procedures and ground control station interfaces is analyzed through a human in the loop simulation experiment for this mission. The results of the simulation experiment indicate that UAV controllers using coherently designed elements achieve significantly higher mission performance and experience lower workloads than those that when using incoherently matched elements.
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    Aiding the Pilot in Flight Control Fault Detection
    (Georgia Institute of Technology, 2005-01-21) Chiecchio, Jerome Jose Andres
    Three flight simulator experiments examined how a health monitoring system may aid pilots in detecting flight control faults. The first experiment introduced an unexpected fault in the flight control system during an approach to a fictitious airport. The second experiment used a factorial design of (1) presence ?? notof a Fault Meter display and (2) presence ?? not ?? an Alerting System, which could have one or two phased alerts. In half the runs, a fault was triggered at some point, and pilot response was recorded. The next experiment comprised one flight in which pilots were given a false alarm by these systems, testing for automation bias. No consistent pilot response was found to the faults, with pilots sometimes successfully landing the aircraft, sometimes immediately or eventually initiating a go-around, and sometimes loosing aircraft control and crashing. The pilots were not able to identify the fault in 11% of the cases. Tunnel tracking error increased following the faults and the false alarm, suggesting it may be both a manifestation of attempts to diagnose a fault and a cue to pilots of a problem. Finally, the triggering of a false alarm showed the existence of automation bias induced after a small number of interactions with the HMS.
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    In-Flight Replanning and Intelligent Pilot Aids for Emergencies and Non-Nominal Flight Conditions
    (Georgia Institute of Technology, 2004-09-22) Kalambi, Vittesh Vasant
    As automated cockpit systems become increasingly complex, they often become more difficult for the pilot to interact with. Such complex systems often essentially dictate methods of safe operation. Sometimes dynamic changes in situation demand re-planning the aircrafts route of flight and the pilot must use automation to accomplish this task. However, this replanning in-flight can be a difficult task. From a pilots point of view, any flight can be thought of as a plan of turns and descents, as well as changes in aircraft dynamics. Planning can be broadly classified into three categories based on a timeline for planning, namely, strategic planning, tactical planning and time-critical planning. Tactical planning, the focus of this thesis, usually occurs in an order of minutes. Although immediate safety is an important concern, other measures of efficiency (e.g. time to land, fuel burn, passenger comfort) may also be factored in by the pilot when he/she has the time to do so. The objective of this research, therefore, was to gain insight into strategies and behavior of pilots during tactical planning and the impact of automation on planning performance and behavior. The experiment studied how pilots planned their flight when given a non-nominal or an emergency situation (when the flight planning is to be performed by the pilot) and how automation can aided them in their planning. In addition to studying the planning behavior of pilots and the impact of automation on this process, this research also provided insight for development of flight deck replanning tools and a preliminary investigation of an intelligent cockpit aid capable of autonomously generating a flight plan. The complexity of such a system limits the scope of this research to examining only a simulated pre-scripted prototype of the system.
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    Management of reference frames in simulation and its application to error reduction in numerical integration
    (Georgia Institute of Technology, 2001-05) Kalaver, Satchidanand Anil