Artificial Intelligence in Space Platforms.

Abstract

This thesis determined the feasibility of implementing Artificial Intelligence techniques on orbiting spacecraft. The main thrust was to evaluate the current technology of expert systems (computer programs) and determine their value to satellite tasking. The goal for an expert system to be effective was that it must be able to perform spacecraft stationkeeping without ground assistance. Analysis began by outlining the basic functions of the DSCS III and noting deficiencies could be corrected with conventional computer programming, but stationkeeping required AI techniques for proper execution. Expert systems were then examined and studied for applicability to the primary task of orbit maintenance. R1, an expert system designed to perform computer configuration, was found to be a good baseline for comparison and further development. The process of orbit maintenance, as currently done by human experts, was explained and outlined for expert system design. Finally, a cost analysis provided information which supported further development of AI technology for spacecraft implementation. (Author).

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1984
Accession Number
ADA152078

Entities

People

  • M. A. Wright

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Artificial Satellites
  • Communication Systems
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Engineers
  • Expert Systems
  • Jet Propulsion
  • Plastic Explosives
  • Satellite Communications
  • Space Objects
  • Space Systems
  • Spacecraft
  • Spacecraft Orbits

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Software Engineering.
  • Space Exploration and Orbital Mechanics.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Space
  • Space - Satellites