Accession Number:

ADA158129

Title:

An Application of Adaptive Learning to Malfunction Recovery.

Descriptive Note:

Master's thesis,

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH

Personal Author(s):

Report Date:

1985-01-01

Pagination or Media Count:

51.0

Abstract:

A self-organizing controller is developed for a simplified two-dimensional aircraft model. The controller learns how to pilot the aircraft through a navigational mission without exceeding pre-established position and velocity limits. The controller pilots the aircraft by activating one of eight directional actuators at all times. By continually monitoring the aircrafts position and velocity with respect to the mission, the controller progressively modifies its decision rules to improve the aircrafts performance. When the controller has learned how to pilot the aircraft, two actuators fail permanently. Despite this malfunction, the controller regains proficiency at its original task. The experimental results reported show the controllers capabilities foe self-organizing control, learning, and malfunction recovery.

Subject Categories:

  • Flight Control and Instrumentation

Distribution Statement:

APPROVED FOR PUBLIC RELEASE