دانلود رایگان مقاله کاربردهای بالقوه جست SMV با موتور تراست

Abstract

This paper investigates the potential applications of Space Maneuver Vehicles (SMV) with skip trajectory. Due to soaring space operations over the past decades, the risk of space debris has considerably increased such as collision risks with space asset, human property on ground and even aviation. Many active debris removal methods have been investigated and in this paper, a debris remediation method is first proposed based on skip SMV. The key point is to perform controlled re-entry. These vehicles are expected to achieve a trans-atmospheric maneuver with thrust engine. If debris is released at altitude below 80 km, debris could be captured by the atmosphere drag force and re-entry interface prediction accuracy is improved. Moreover if the debris is released in a cargo at a much lower altitude, this technique protects high value space asset from break up by the atmosphere and improves landing accuracy. To demonstrate the feasibility of this concept, the present paper presents the simulation results for two specific mission profiles: (1) descent to predetermined altitude; (2) descent to predetermined point (altitude, longitude and latitude).

6. Conclusion

This paper investigates the potential applications of skip SMV and one of the most promising applications is active debris removal. For unusable debris, skip SMV is able to increase the re-entry interface prediction accuracy and reduce risks for people and property on ground. For disabled space property still with value, it is possible for SMV to re-entry to a lower altitude and then release space asset in a cargo, which can help to avoid the breakup brought by atmosphere, and thus improve the landing accuracy. The key feature of skip trajectory is to descend into atmosphere and then exit. This paper established the dynamic and control equations for skip re-entry with thrust capability. Space shuttle is adopted as the SMV model because the parameter settings are available from open source literatures. Trajectory optimization is the key issue for skip SMV and it is in detail discussed in our paper with different scenarios. Compared with descent to fixed altitude, descent to predetermined point is more challenging for control. Evolutionary collocation method improves the computation efficiency in skip trajectory optimization. Simulation results demonstrate feasibility of skip SMV in active debris removal satisfying constraints. Although there is no relevant study about the application of skip SMV to removal of large debris, in the future, it will be feasible for skip SMV to perform debris re-entry missions repeatedly and efficiently.