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dc.contributor.authorTappe, J.
dc.contributor.authorKim, J.J.
dc.contributor.authorJordan,A.
dc.contributor.authorAgrawal, B.N.
dc.dateAugust 8-11, 2011
dc.date.accessioned2013-07-18T19:18:22Z
dc.date.available2013-07-18T19:18:22Z
dc.date.issued2011
dc.identifier.citationAIAA Modeling
dc.identifier.citationSimulation Technologies Conference, Portland OR, August 8-11, 2011.
dc.identifier.urihttp://hdl.handle.net/10945/34498
dc.descriptionThe article of record as published may be found at http://dx.doi.org/10.2514/6.2011-6270en_US
dc.description.abstractThis 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. 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. 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.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleStar Tracker Attitude Estimation for an Indoor Ground-Based Spacecraft Simulatoren_US
dc.contributor.departmentDepartment of Mechanical and Aerospace Engineering


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