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.


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    Titel :

    Manual Control Adaptation to Changing Vehicle Dynamics in Roll–Pitch Control Tasks


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    01.05.2016




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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