This paper investigates how pilot control behavior adapts to time-varying vehicle dynamics in a roll–pitch control task. Nine general aviation pilots performed eight experimental conditions in which the axis containing the time-varying controlled dynamics and the rate of change of the dynamics varied. To characterize time-varying human control behavior, a maximum likelihood estimation procedure was used to estimate the parameters of a pilot model with time-dependent sigmoid functions. Pilot control behavior in both axes was significantly affected by the time-varying controlled dynamics in roll and pitch and by the rate of change of the dynamics. Control behavior was mainly affected in the axis containing the time-varying controlled dynamics. However, control behavior in the axis not containing the time-varying dynamics was also affected, indicating cross coupling in human perception and control processes between roll and pitch. The maximum likelihood estimation method provided accurate parameter estimations when applied to a pilot model with time-dependent sigmoid functions. The parameters defining pilots’ equalization dynamics after the transition in controlled dynamics and the maximum rate of change of the equalization dynamics had the lowest estimation accuracy.
Manual Control Adaptation to Changing Vehicle Dynamics in Roll–Pitch Control Tasks
Journal of Guidance, Control, and Dynamics ; 39 , 5 ; 1046-1058
01.05.2016
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Manual Control Adaptation to Changing Vehicle Dynamics in Roll–Pitch Control Tasks
Online Contents | 2016
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