Prediction of Short Term Tracking Tasks Using an Optimal Pilot Model.

Abstract

An optimal pilot model has previously been successful in predicting the long term tracking performance of a longitudinal air-to-air gunnery task. This study investigated modifications to the same pilot model to determine whether it could be used to successfully predict performance for a short term task. The same task, including a lead computing optical sight, was simulated on a hybrid computer. Three pilots flew three different aircraft configurations on the fixed-base simulator against a target driven to RMS accelerations of 3.5G and 5.0G by filtered, Gaussian noise. The target was at either 1000' or 3000' range. A comparison of the data generated by the human pilots versus that of the optimal pilot model showed moderate correlation for elevator deflection, lead angle and pitch rate. Overall, the optimal pilot model was less successful in predicting short term tracking performance than it was in predicting long term performance.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1982
Accession Number
ADA115543

Entities

People

  • Patrick A. Mullen

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Cyber
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Closed Loop Systems
  • Computational Science
  • Computer Programs
  • Computer Simulations
  • Computers
  • Control Systems
  • Differential Equations
  • Gaussian Noise
  • Hybrid Computers
  • Hybrid Simulations
  • Lead Angle
  • Line Of Sight
  • Optical Sights
  • Simulations
  • Simulators

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aviation Science / Aeronautics.
  • Spectroscopy.