Identification and Motion Prediction of Tethered Satellite Systems

Abstract

This research program addressed the dynamics, estimation, and orbit determination of Tethered Satellite Systems (TSS). In a three year investigation we: (1) considered and reported on the state-of-the-art knowledge regarding TSS identification and motion prediction; (2) reviewed tracking, estimation, and orbit determination algorithms and models currently used by the Air Force; (3) developed algorithms for the detection, quick identification, orbit determination, and tracking of TSS: (4) developed techniques for the accurate prediction of the motions of TSS that have been detected, identified, and tracked; (5) developed-methods of detecting changes in the configuration of a TSS; and (6) use the knowledge and experience gained in (1) through (5) above to define and complete additional tasks of interest to the Air Force. Eased on the results of both simulated and real data, we have demonstrated that the three-stage orbit determination method developed and presented in this report can indeed be used for the preliminary orbit determination, quick-look identification, and long-term orbit determination and motion prediction of TSS. While the results are encouraging, additional work is clearly needed in order to verify, test, and develop these new techniques to achieve software packages which will be operationally useful.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2001
Accession Number
ADA392903

Entities

People

  • David A. Cicci
  • John E. Cochran Jr.

Organizations

  • Auburn University

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Apogees
  • Applied Mathematics
  • Artificial Satellites
  • Astronautics
  • Computational Science
  • Computers
  • Coordinate Systems
  • Detection
  • Differential Equations
  • Equations Of Motion
  • Mechanics
  • Molecular Dynamics
  • Space Objects
  • Space Systems
  • Spacecraft

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Organizational Process Management (OPM).
  • Robotics and Automation.

Technology Areas

  • Space
  • Space - Orbital Debris
  • Space - Space Objects