우주발사체 비행궤적 추정을 위한 데이터마이닝의 적용

Abstract

The idea for this thesis was derived from how a IT(Information Technology) could be optimally applied to the field of aerospace technology in order to improve the system performance and function for launch vehicle, satellite, deep space explorer which are required the high reliability and availability. The convergence of IT with a variety of sectors is a growing trend, and what IT convergence is and why it is important were first described. For this convergence application, the telemetry ground system which collects the status data from launch vehicle has been considered in accordance with the subject of this research. To receive the telemetry data, the telemetry ground system has to track the launch vehicle without tracking loss, and it is possible by the well-organized tracking algorithm to estimate a current flight position data in real-time. In this thesis, the polynomial regression model of data mining application was considered as the algorithm to estimate the flight position information of launch vehicle. For the analysis, the real trajectory data which had been logged during the flight test with airplane and NARO launch mission was used. And the OriginPro 8.0 and Matlab 2010 software were used for the analysis of antenna tracking performance by both of previous interpolation and new polynomial regression model. In case of polynomial regression model, the mathematical modeling was first established with the equation of 2nd order(degree), and then the results of the estimated flight position information in real-time was produced. In conclusion, the new algorithm with 2nd order of polynomial regression model of data mining application shows the accurate tracking performance to estimate the next flight position information compared to the interpolation algorithm, and the antenna operational characteristics were better than previous.