[논문]Analysis of Orbital Lifetime Prediction Parameters in Preparation for Post-Mission Disposal

Choi, Ha-Yeon; Kim, Hae-Dong; Seong, Jae-Dong

doi:10.5140/jass.2015.32.4.367

[국내논문] Analysis of Orbital Lifetime Prediction Parameters in Preparation for Post-Mission Disposal 원문보기

Journal of astronomy and space sciences, v.32 no.4, 2015년, pp.367 - 377

Choi, Ha-Yeon (Aerospace System Engineering, Korea University of Science and Technology) , Kim, Hae-Dong (IT Convergence Technology Team, Korea Aerospace Research Institute) , Seong, Jae-Dong (Aerospace System Engineering, Korea University of Science and Technology)

Abstract ▼ AI-Helper

Atmospheric drag force is an important source of perturbation of Low Earth Orbit (LEO) orbit satellites, and solar activity is a major factor for changes in atmospheric density. In particular, the orbital lifetime of a satellite varies with changes in solar activity, so care must be taken in predicting the remaining orbital lifetime during preparation for post-mission disposal. In this paper, the System Tool Kit (STK$^{(R)}$) Long-term Orbit Propagator is used to analyze the changes in orbital lifetime predictions with respect to solar activity. In addition, the STK$^{(R)}$ Lifetime tool is used to analyze the change in orbital lifetime with respect to solar flux data generation, which is needed for the orbital lifetime calculation, and its control on the drag coefficient control. Analysis showed that the application of the most recent solar flux file within the Lifetime tool gives a predicted trend that is closest to the actual orbit. We also examine the effect of the drag coefficient, by performing a comparative analysis between varying and constant coefficients in terms of solar activity intensities.

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문제 정의

7 shows an extrapolation from the launch of KOMPSAT-1 to the time at which the prediction was made using the SolFlx file. The purpose of this extrapolation is to determine whether the prediction made before the solar flux prediction showed a similar trend to that of the existing prediction results. We found that a corresponding trend was indeed present.
Accurate orbital lifetime prediction is important for post-mission disposal planning. Therefore, the results obtained in this study may be useful for the analysis of long-term orbital lifetime predictions.

제안 방법

A further study derived an equation to calculate fuel consumption, based on variations of orbital elements due to continuous changes in atmospheric drag (Jung & Song 1999). In this study, the necessary corrections to orbital speed due to atmospheric drag and the required fuel consumption were effectively predicted and applied to the orbital analysis of KOMPSAT. It should be noted that LEO satellites consume large amounts of fuel to respond to atmospheric drag, and therefore accurate drag prediction is crucial because fuel consumption has a direct influence on mission lifetime and weight at launch.
In this study, we predict the orbital lifetimes of KOMPSAT-1 and KOMPSAT-2, by comparing actual orbital data collected over a long period of time with differential applications of atmospheric drag values with respect to solar activity. Our results showed that appropriate adjustment of the parameters can increase the accuracy of orbital lifetime prediction.
Our results showed that appropriate adjustment of the parameters can increase the accuracy of orbital lifetime prediction. Thus, on the basis of these results, we analyzed the parameters that require adjustment for the accurate prediction of orbital lifetimes, for future KOMPSAT models. In addition, we analyzed the characteristics of the STK^® Long-term Orbit Propagator (LOP) and the Lifetime tool and compared the results.
The intensity of solar activity varies within a solar activity cycle, and therefore basic parameters such as the atmospheric drag coefficient and the solar radiation pressure coefficient can be adjusted, and the precise exposure area of the satellite can be determined, in order to reduce prediction errors. Among the non-gravitational perturbations of LEO satellites, the atmospheric drag force has the greatest influence, and therefore constant values were adopted for the solar radiation pressure coefficient and effective exposed area in this study. This allows the variations in predicted orbital lifetime to be analyzed with respect to adjustments in the atmospheric drag coefficient.
We found that a corresponding trend was indeed present. To determine the sensitivity of the Lifetime tool to the SolFlx data, the orbital lifetime predictions were made several times, all under the same conditions, but with varying SolFlx files. The results shown in Figs.
This section presents a comparison of lifetime predictions given by constant parameters unrelated to the intensity of solar activity, and those given by drag coefficients that vary according to the intensity of solar activity. In addition, lifetime predictions were made by adjusting the drag coefficients at increased flux sigma levels. The result is confirmed in Tables 5 and 6.
In addition, we analyzed the characteristics of the STK® Long-term Orbit Propagator (LOP) and the Lifetime tool and compared the results.

이론/모형

The default values listed in Table 1 were adopted as the parameter values in the dynamic model. The LOP performed the orbital predictions without using the SolFlx files provided in the Lifetime tool but instead employed only the 1976 U.S. Standard Atmosphere Model as the atmospheric density model. The atmospheric density model used in the LOP in this study was the 1976 U.
In addition, differences were found between the orbital lifetime predictions made using the LOP and the Lifetime tool. For KOMPSAT-1, the prediction results after adjusting the drag coefficient in the Lifetime tool and the LOP showed trends that were similar to the actual flux intensity.

성능/효과

In addition, through differential application of drag coefficients, the variable atmospheric drag coefficients and the changes in the flux sigma level were presented. These results showed that KOMPSAT-1 and KOMPSAT-2 differed markedly, and that the drag coefficients must be adjusted in accordance with the intensity of solar activity for accurate lifetime prediction.

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