Development of Star Tracker System for Accurate Estimation of Spacecraft Attitude
NAVAL POSTGRADUATE SCHOOL MONTEREY CA
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This thesis researches different star pattern recognition and attitude determination algorithms for a three-axis rotational spacecraft. A simulated star field will be suspended above the experimental Three-Axis Spacecraft simulator to provide a reference for the star-pattern recognition algorithms. A star field inertial reference frame database of stars will be developed with the simulator at zero attitude. The angle, planar triangle, and spherical triangle star pattern recognition algorithms will then be used to identify which stars are within a cameras field of vision. The imaged stars will then be matched up to the corresponding stars within the test bed database. With the imaged stars identified and the corresponding inertial frame reference data, the test beds attitude will be determined using the least-squares, TRIAD, and Quaternion Estimator QUEST attitude determination algorithms. On the three axis simulator, an iterative algorithm is developed to demonstrate increasing star tracker accuracy with each updated A matrix.
- Economics and Cost Analysis
- Unmanned Spacecraft