An Adaptive Controller which Displays Human Operator Limitations for a Fighter Type Aircraft.

Abstract

A general adaptive controller which displays human operation limitations is developed for a fighter type aircraft flying a dynamic trajectory by using the total airframe-control system perturbation equations. The adaptive controller is implemented using a forced separation controller with limitations. The major limitations are that it cannot actively control or observe more than one channel at a time and that there is a time delay in information processing. A decision process is necessary to choose the current channel in real-time because of the limited attention and control assumed for the controller. This attention has two effects: specification of an observation matrix, and specification of a control matrix. This specification is made using a Bayesian decision process, from a choice of possible observations and controls, each choice emphasizing different aircraft states. The mathematical outcome is an adaptive forced separation controller which is flexible enough that it can be implemented on any aircraft control problem as long as the trajectory can be specified. Analysis and synthesis techniques for the time varying aircraft model dynamics are demonstrated. The outcome is the evolution of a method for analyzing total aircraft/controller response to perturbations on a general trajectory.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1978
Accession Number
ADA066193

Entities

People

  • Eric K. Lindberg

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Airframes
  • Automatic Pilots
  • Computational Science
  • Computer Programs
  • Control Systems
  • Coordinate Systems
  • Differential Equations
  • Equations
  • Equations Of Motion
  • Flight Simulators
  • Human Factors Engineering
  • Information Processing
  • Mathematical Filters
  • Measurement
  • Stochastic Processes

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aviation Science / Aeronautics.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms