Commercial Geosynchronous Satellite Servicing

Abstract

On-orbit servicing (OOS) of satellites has been a significant goal since the early 1980s. Once considered feasible for satellites operating in low earth orbit (LEO) when the space shuttle program was operational, providing OOS for satellites operating in geostationary orbit (GEO) always has been beyond reach. The advancement of robotics and artificial intelligence (AI) has finally opened up the possibility of OOS for all orbital regimes. The aim of this thesis is to investigate what has been already proposed for OOS, identify the initial satellite subsystems that could benefit from OOS missions, and determine whether or not OOS can be made to be cost effective. By tracking and categorizing on-orbit satellite failures, a pattern begins to emerge about which subsystems are more likely to fail on orbit. From there, subsystem hardware components can be identified for potential replacement on legacy satellites and for design modification. Proving the ability to service legacy satellites will pave the future of satellite design and capability. Ideally, as the technology progresses, all satellites will move to a more modular design thus saving money and materials. By using current models and cost analysis, the feasibility of OOS can be demonstrated.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2020
Accession Number
AD1114589

Entities

People

  • Rachel P. Hill

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Satellites
  • Astronautics
  • Communication Satellites
  • Control Systems
  • Department Of Defense
  • Earth Orbits
  • Economic Analysis
  • Geosynchronous Orbits
  • Geosynchronous Satellites
  • Low Earth Orbits
  • Navigation
  • Payload
  • Satellite Buses
  • Solar Panels
  • Space Objects
  • Space Shuttles
  • Space Systems
  • Spacecraft
  • Spacecraft Orbits
  • Standards
  • United States

Readers

  • Missile Defense Systems.
  • Software Engineering
  • Space Exploration and Orbital Mechanics.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Space
  • Space - Satellites