The assessment of the semi-analytical method in the long-term orbit prediction of Earth satellites |
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| Authors: | Da-wei Wang Jing-shi Tang Lin Liu Chao-wei Ma Shi-feng Hao |
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| Institution: | 1. School of Astronomy and Space Science, Nanjing University, Nanjing 210023;2. Institute of Space Environment and Astrodynamics, Nanjing University, Nanjing 210023;3. Beijing Institute of Tracking and Telecommunications Technology, Beijing 100094 |
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| Abstract: | To understand the long-term evolution and distribution of the space objects, it is necessary to predict their orbits. Compared with the short-term prediction of a few days, the priority concerns of the long-term orbit prediction are the calculation speed, and the accuracies of major orbital elements, including the semi-major axis and eccentricity which define the shape of the orbit, as well as the orbital inclination and the right ascension of ascending node which define the orientation of the orbit. Given these requirements, it is preferable to adopt the semi-analytical method, which averages the system over the orbital period, and integrates the averaged system using the numerical method. It is not new, however, in the available literature, we can hardly find a quantitative assessment regarding its accuracy and speed when it is applied to various types of orbits. In this paper, we would like to report our implementation and assessment of the semi-analytical method, expecting that it would help to estimate its feasibility in the long-term orbit prediction. The quantitative assessment covers the commonly used orbits for the Earth satellites. In some rare and special cases where the performance of our method appears abnormal, we discuss the reasons and possible solutions. We hope our results can provide some useful reference for the similar applications of the semi-analytical method since our method is a relatively common approach in terms of both accuracy and implementation. |
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| Keywords: | celestial mechanics Planets and satellites: dynamical evolution methods: analytical |
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