Star Tracker Attitude Estimation for an Indoor Ground-Based Spacecraft Simulator

Abstract

This paper presents a study of star tracker attitude estimation algorithms and implementation on an indoor ground-based Three Axis Spacecraft Simulator (TASS). Angle, Planar Triangle, and Spherical Triangle algorithms are studied for star pattern recognition. Least squares, QUEST and TRIAD algorithms are studied for attitude determination. A star field image is suspended above TASS. The indoor laboratory environment restricts the placement of the star field to be in close proximity to TASS. This restriction adds some additional complication to the standard attitude determination problem. An iterative solution handles this complication. Experimental verification is also performed for the proposed iterative solution.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2011
Accession Number
ADA571253

Entities

People

  • Albert Jordan
  • Brij Agrawal
  • Jack Tappe
  • Jae J. Kim

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Astronautics
  • Computations
  • Coordinate Systems
  • Estimators
  • Euler Angles
  • Ground Based
  • Measurement
  • Optimal Estimators
  • Pattern Recognition
  • Recognition
  • Simulations
  • Simulators
  • Spacecraft
  • Standards
  • Star Trackers

Readers

  • Computer Vision.
  • Inertial Navigation Systems.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Space
  • Space - Spacecraft Maneuvers