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Identification of Time-Varying Pilot Control Behavior in Multi-Axis Control Tasks  (2012)
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Recent developments in fly-by-wire control architectures for rotorcraft have introduced new interest in the identification of time-varying pilot control behavior in multi-axis control tasks. In this paper a maximum likelihood estimation method is used to estimate the parameters of a pilot model with time-dependent sigmoid functions to characterize time-varying human control behavior. An experiment was performed by 9 general aviation pilots who had to perform a simultaneous roll and pitch control task with time-varying aircraft dynamics. In 8 different conditions, the axis containing the time-varying dynamics and the growth factor of the dynamics were varied, allowing for an analysis of the performance of the estimation method when estimating time-dependent parameter functions. In addition, a detailed analysis of pilotsí adaptation to the time-varying aircraft dynamics in both the roll and pitch axes could be performed. Pilot control behavior in both axes was significantly affected by the time-varying aircraft dynamics in roll and pitch, and by the growth factor. The main effect was found in the axis that contained the time-varying dynamics. However, pilot control behavior also changed over time in the axis not containing the time-varying aircraft dynamics. This indicates that some cross coupling exists in the perception and control processes between the roll and pitch axes.
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Behavior, Control, Control, Identification, Multi-Axis, Pilot, Tasks, Time, Varying
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AIAA Modeling and Simulation Technologies Conference 13 - 16 August 2012, Minneapolis, Minnesota
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Adobe PDF Icon  AIAA2012.IdentTVPMulti.pdf (Download Acrobat Reader Click to download Adobe Acrabat Reader)
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Curator: Phil So
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Last Updated: August 15, 2019