Impact of Atmospheric Perturbation on Dynamics of Space Tether Systems
Bibliographic record
Abstract
This paper studies the impact of atmospheric perturbations on the dynamics of space tether systems using the recent atmosphere models. The dynamic behavior of space tether systems is directly affected by the atmospheric drag perturbations. Models of the atmosphere around the Earth have always been important to a complete study of space tether systems especially in the estimation of atmosphere drag. However, many existing studies employ models that have not accounted for recently discovered phenomena in the atmosphere. As such, the estimates of atmospheric density derived from these models can be improved. In the present work, we show how the new models of the atmosphere differ from the models commonly used in the dynamic analysis of space tether systems and how these changes influence the dynamic behavior of space tether systems in the station-keeping phase. The models under consideration in this paper are the Jacchia-Bowman 2008 (JB2008) model and the Drag Temperature Model 2013 (DTM-2013). In the first part of the paper, we briefly discuss the predecessor models which have been derived either empirically or semiempirically. We discuss the introduction of new solar proxies and new geomagnetic indices which were obtained from data made available from satellites such as CHAMP, GRACE, Stella, Starlette and GOCE and ground-based instruments. The second part of the paper involves the application of the JB2008 model and the DTM-2013 model to a space tether system. The new models will give us an estimate of the density of the atmosphere and, thus, an estimate of the drag acting on the space tether system. We incorporate these values of density into our model for a space tether system and compare them with the results from our previous model using a simple atmosphere model. This helps us determine whether the new models of the atmosphere have a significant impact on the prediction of dynamic behavior of a space tether system. These simulations for the model of the space tether system in different atmospheric models are performed in MATLAB/Simulink and the results are demonstrated accordingly.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".