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Related Experiment Videos

[Modeling of feeling institution in pilot structural model].

X J Qu1, H Wei, J C Guan

  • 1Beijing University of Aeronautics and Astronautics, Beijing, China.

Hang Tian Yi Xue Yu Yi Xue Gong Cheng = Space Medicine & Medical Engineering
|January 26, 2002
PubMed
Summary

This study enhances a pilot model by incorporating a Neural Network (NN) receptor to account for human observation characteristics. The improved model extends the stable gain region in closed-loop pilot-vehicle systems.

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Area of Science:

  • Human-Computer Interaction
  • Control Systems Engineering
  • Cognitive Modeling

Background:

  • Existing structural pilot models by Hess neglected the human observation and feeling aspects.
  • Simulations revealed a 'blind region' in Hess's model where pilots failed to respond to small signals.
  • Key human observation characteristics identified are the observation threshold and observation noise.

Purpose of the Study:

  • To improve the structural pilot model by incorporating human observation and feeling characteristics.
  • To introduce a Neural Network (NN) receptor model to represent human perceptual capabilities.
  • To analyze the impact of the augmented pilot model on closed-loop system dynamics.

Main Methods:

  • Augmenting the existing structural pilot model with a Neural Network (NN) receptor.

Related Experiment Videos

  • Utilizing simulation to analyze the behavior of the augmented pilot model.
  • Investigating the closed-loop system performance with the enhanced pilot model.

    • Main Results:

    • The Neural Network (NN) perception component significantly influenced the closed-loop system.
    • The stable gain region for the human pilot within the closed-loop system was observed to be extended.
    • The augmented model demonstrated a more realistic representation of pilot behavior.

    Conclusions:

    • The proposed Neural Network (NN) augmented pilot model is a reasonable improvement for representing the human feeling institution.
    • The inclusion of perceptual characteristics enhances the fidelity of pilot modeling.
    • The findings suggest potential for improved human-pilot interaction and system design.