点击次数：
影响因子：2.8
DOI码：10.1016/j.asr.2023.05.034
发表刊物：Advances in Space Research
关键字：Reusable launch vehicle, Reentry blackout, Reachable set footprint, Trajectory optimization
摘要：Blackout emerges in the reentry phase of reusable launch vehicles (RLV). Therein, large uncertainties exist in the telemetry signals of RLV, leading to potential safety problems. To facilitate predicting possible ranges of RLV final position when leaving blackout, this paper proposes a modified approach for computing reachable set footprint (RSF). A multi-phase trajectory optimization method is applied to simplified dynamics of RLV. Specifically, partial final boundary conditions are additionally supplemented to the first phase to exploit the intermediate state information during blackout. On this basis, RSF is predicted via solving a series of trajectory optimization problem by sequential convex programming. RSF with additional state information from different altitude are compared in numerical cases. Simulation results show that there exists a suitable range to update RSF using intermediate information. The decision altitude of updating RSF is determined for the exemplary RLV.
论文类型：期刊论文
一级学科：航空宇航科学与技术
文献类型：期刊
卷号：72
期号：6
页面范围：1970-1982
是否译文：否
发表时间：2023-05-26
收录刊物：SCI
发布期刊链接：https://www.sciencedirect.com/science/article/pii/S0273117723003903