Realtime Pilot Model Parameter Identification.

Abstract

An air to ground test technique was simulated on the Flight Dynamics Laboratory's LAMARS simulation system. Data was recorded on longitudinal stick deflection and longitudinal pipper errors. The data was used to identify pilot model parameters using the Recursive Least Squares (RLS) Algorithm. Several different pilot models and discretization techniques are used to determine which method is best suited to this task. Neal-Smith Theory is used to predict a range of pilot model parameters are identified using three aircraft with different time delays. THe identified pilot model parameters and pilot ratings are compared to see if a correlation exist. The specific values of pilot model parameters predicted by Neal-Smith Theory were not identified. However, trends in the pilot model parameters predicted by Neal-Smith Theory, for aircraft of increasing time delay, can be observed in the identifications.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA188873

Entities

People

  • Michael R. Rosenbleeth

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Aircraft Models
  • Aircrafts
  • Algorithms
  • Classification
  • Closed Loop Systems
  • Control Sticks
  • Control Systems
  • Deflection
  • Dynamics
  • Equations
  • Frequency
  • Identification
  • Quadratic Equations
  • Ratings
  • Simulations
  • Standards

Fields of Study

  • Engineering

Readers

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