Satellite Relative Motion Control for MIT's SPHERES Program

Abstract

Autonomous formation flight concepts and algorithms have great potential to revolutionize spacecraft operations enabling missions to perform autonomous docking, in-space refueling, in-space robotic assembly, and space debris removal. Such tasks require the implementation of speed and path control algorithms to maneuver satellites along relative paths with specified rates along those paths. This thesis uses MATLAB (registered trademark) and SIMULINK (registered trademark) to design and simulate a control algorithm capable of providing relative speed and path control between satellites with a pointing error of less than two degrees, a position error of less than two millimeters, and a millimeter per second of velocity error. The enclosed research provides enhancements to Massachusetts Institute of Technology's SPHERES (Synchronized Position Hold Engage Reorient Experimental Satellites) program, a testbed for multi-object rendezvous and docking research. This control algorithm is to be used on-board the International Space Station to allow MIT's SPHERES program to continue to provide a practical intermediate step to develop, test, and validate autonomous formation spaceflight algorithms. Furthermore, the simulation tool used to develop the control algorithm allows a greater community of control engineers to interact with SPHERES purely in the MATLAB (registered trademark) development environment.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2012
Accession Number
ADA557922

Entities

People

  • Samuel P. Barbaro

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Artificial Satellites
  • Control Systems
  • Control Systems Engineering
  • Coordinate Systems
  • Engineering
  • Relative Motion
  • Satellite Buses
  • Space Debris
  • Space Objects
  • Space Stations
  • Space Systems
  • Spacecraft
  • Three Dimensional
  • Two Dimensional
  • United States

Readers

  • Aerospace Engineering.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control
  • Space
  • Space - Orbital Debris
  • Space - Satellites
  • Space - Spacecraft Maneuvers