Virtual Reality As a Testbed for Star Tracker Algorithms (original) (raw)

2019

Abstract

Algorithms for spacecraft attitude estimation utilizing input from star trackers are often tested in a limited simulation environment. This paper presents an interactive virtual reality testbed for experimenting with attitude determination in any user-defined scenario. Specifically, a database containing a star catalog and initial conditions are fed into a developed star tracker model. This model uses Gaussian convolution to create an accurate output based on the field of view and simulated dynamics the star tracker is experiencing. A general space vehicle rigid body dynamics model has been implemented, allowing the user to plug in any sort of attitude dynamics. and pp image distortion, stellar aberration, field of view, and rigid body dynamics can be specified by the user. A high-resolution star map has been generated for use in SpaceCRAFT, which will be used as a testbed for the generated camera model. The camera model provides a view of the sky from the point of view of the satellite, allowing the user to modify the parameters needed until a solution to the attitude problem is solved. A virtual reality interface is provided for precise satellite component placement, along with custom analysis tools. This paper presents the development of the overall system and verifies its potential use in the optimization and test of star tracker hardware.

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