Real-time orbit prediction in a large telescope system

Details Real-time orbit prediction in a large telescope system Real-time orbit prediction in a large telescope system

May 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009spie.7281e..29y&link_type=abstract

4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes. Edited by

Physics

Scientific paper

High precision orbit predict data is not always available for large telescope system, which is designed for tracking space targets. The data from image procession is the only implementation to closed loop control. However, when target is going through thick cloud or low-contrast area, image procession might fail to offer reliable data to closed loop control. Large telescope system usually is built with high precision (arc seconds or several ten arc seconds) while with small field of view. A little time of failure from image procession will lead to escape of target. In this paper, a new way of real-time orbit prediction is presented to substitute traditional way. Real-time orbit prediction produces real-time prediction of high precision from real-time observation data which guides the driver module of large telescope system so that it will keep tracking even if temporary failure of image precession occurred and then high precision observation data is absent after acquisition. This theory has been validated by experiments in a large telescope system. The prediction keeps same order of observational data when failure of image precession occurred and then high precision observation data is absent for targets with orbit altitude 500km and 1000km, so that the system keepst tracking successfully. In this paper, the results of the experiments are analyzed, and the conclusion is that real-time orbit prediction is highly useful for large high precision telescope systems when tracking space target whose high precision orbit prediction is absent.

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