• DocumentCode
    115218
  • Title

    Human control strategies in pursuit tracking with a disturbance input

  • Author

    Bo Yu ; Gillespie, R. Brent ; Freudenberg, James S. ; Cook, Jeffrey A.

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    3795
  • Lastpage
    3800
  • Abstract
    Human operators can manipulate an integrator plant and manually track a single sine wave very well with almost unity amplitude ratio and zero phase lag as long as the frequency of the sine wave is not too high. However, the pattern of responses across single sine signals of different frequencies does not resemble the pattern of response across random appearing sum-of-sines signals for moderate to high frequencies. There is a significantly larger phase lag in tracking a sum-of-sines than tracking a single sine wave for moderate to high frequencies. This phenomenon suggests that humans utilize different control strategies for predictable tasks than for unpredictable tasks. In this paper we designed experiments and methodologies to identify non-parametric feedback and feedforward controllers in human operators for manual tracking with an explicit display of the sinusoidal reference signals and a disturbance input. Our results show that the feedback controller resembles McRuer´s “crossover model”, and the feedforward controller attempts to invert the system dynamics that the human operator is manipulating if the reference signal is predictable.
  • Keywords
    feedback; feedforward; gait analysis; man-machine systems; nonparametric statistics; signal processing; McRuer´s crossover model; disturbance input; human control strategies; human operators; integrator plant; nonparametric feedback controllers; nonparametric feedforward controllers; phase lag; pursuit tracking; response pattern; sine signals; single sine wave tracking; sinusoidal reference signals; sum-of-sine signals; unity amplitude ratio; zero phase lag; Adaptive control; Feedback control; Feedforward neural networks; Frequency control; Frequency response; Tracking loops; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7039980
  • Filename
    7039980