INTEGRAL FILTER DATA FOR SENSOR SYSTEM prefixed angular orientation AND STABILIZATION OF SPACECRAFT
Journal Title: Механіка гіроскопічних систем - Year 2015, Vol 0, Issue 30
Abstract
The topic of the article is “Integral data filter with prediction for attitude determination control system of spacecraft”. This article discusses methods of the satellite sensors data filtering using Kalman filter, Butterworth filter and the proposed integral filter with the prediction. The problem consists in data filtering without phase lag and without knowledge of disturbing force, since Kalman filter uses prediction based on mathematical model of the object with the known disturbing forces. There are five parts in the article: introduction, formulation of the problem, methods and techniques of research, results and its discussions and conclusions. In the introduction the problem of data filtering for a spacecraft is formulated. Then the methods of solutions are discussed with the help of Kalman filter, Butterworth filter and the proposed integral filter with the prediction. The author examine methods of data filtering on the mathematical model of spacecraft angular motion built in Matlab and then on a real model of the object in ground tests. The resulted comparison graphics of different methods data filtration is shown. The author makes a conclusion that proposed integral filter with prediction is the most effective in this case. He mentioned that the output of this filter is phase advance of the input signal by 5 degrees and the proposed filter gives also filtered derivative of the input signal. After testing the filter on the real model of spacecraft, the attitude determination accuracy of 0.1 degree was achieved.
Authors and Affiliations
Арамаис Викторович Тищенко,, Анатолий Михайлович Кулабухов,, Петр Александрович Желябов
Keywords
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