A. Brunet, A. Sicard, C. Papadimitriou, D. Lazaro, P. Caron
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As part of the ESA ARTES program, ONERA has developed a specification model of proton fluxes dedicated for EOR missions. This model is able to estimate the average proton fluxes between 60 keV and 20MeV on arbitrary trajectories on the typical durations of EOR transfers. A global statistical model of the radiation belts was extracted from the Van Allen Probes (RBSP) RBSPICE data. For regions with no or low sampling, simulation results from the Salammbô radiation belt model were used. A special care was taken to model the temporal dynamics of the belts on the considered mission durations. A Gaussian Process (GP) model was developed, allowing to compute analytically the distribution of the average fluxes on arbitrary mission durations. Satellites trajectories can be flown in the resulting global distribution, yielding the proton flux spectrum distribution as seen by the spacecraft. We show results of the model on a typical EOR trajectory. 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引用次数: 1
摘要
电信卫星的电力轨道提升(EOR)使机载燃料质量大大减少,但代价是延长了转移时间。这些相对较长的传输,通常跨越几个月,跨越辐射带的大跨度,导致航天器暴露在空间辐射中。由于人口不是很多,辐射带中间区域的辐射环境在标准环境模型下比在LEO或GEO等流行轨道上受到的约束要小。特别是,需要更具体的MeV能量范围质子通量模型,这是太阳能电池阵列退化的原因,因此对提高采收率任务至关重要。作为ESA ARTES计划的一部分,ONERA开发了用于EOR任务的质子通量规范模型。该模型能够在典型的EOR转移持续时间内,在任意轨迹上估计60 keV至20MeV之间的平均质子通量。从范艾伦探测器(Van Allen probe, RBSP)的RBSPICE数据中提取了辐射带的全球统计模型。对于没有采样或采样率低的区域,采用Salammbô辐射带模型的模拟结果。特别注意按照所考虑的任务持续时间来模拟带的时间动态。建立了高斯过程(GP)模型,可以解析地计算任意任务持续时间内平均通量的分布。卫星的轨迹可以在最终的全球分布中飞行,从而得到航天器所看到的质子通量谱分布。我们展示了该模型在典型EOR轨迹上的结果。将得到的通量与标准AP8模型、AP9模型进行了比较,并使用THEMIS卫星数据进行了验证。我们说明了对太阳能电池退化的预期影响,其中我们的模型显示,与AP8相比,退化预测增加了20%。
OMEP-EOR: A MeV proton flux specification model for Electric Orbit Raising missions
Electric Orbit Raising (EOR) for telecommunication satellites has allowed significant reduction in on-board fuel mass, at the price of extended transfer durations. These relatively long transfers, which usually span a few months, cross large spans of the radiation belts, resulting in significant exposure of the spacecraft to space radiations. Since they are not very populated, the radiation environment of intermediate regions of the radiation belts is less constrained than on popular orbits such as LEO or GEO on standard environment models. In particular, there is a need for more specific models for the MeV energy range proton fluxes, responsible for solar arrays degradations, and hence critical for EOR missions. As part of the ESA ARTES program, ONERA has developed a specification model of proton fluxes dedicated for EOR missions. This model is able to estimate the average proton fluxes between 60 keV and 20MeV on arbitrary trajectories on the typical durations of EOR transfers. A global statistical model of the radiation belts was extracted from the Van Allen Probes (RBSP) RBSPICE data. For regions with no or low sampling, simulation results from the Salammbô radiation belt model were used. A special care was taken to model the temporal dynamics of the belts on the considered mission durations. A Gaussian Process (GP) model was developed, allowing to compute analytically the distribution of the average fluxes on arbitrary mission durations. Satellites trajectories can be flown in the resulting global distribution, yielding the proton flux spectrum distribution as seen by the spacecraft. We show results of the model on a typical EOR trajectory. The obtained fluxes are compared to the standard AP8 model, the AP9 model, and validated using the THEMIS satellites data.We illustrate the expected e ect on solar cell degradation, where our model is showing an increase of up to 20% degradation prediction compared to AP8.
期刊介绍:
The Journal of Space Weather and Space Climate (SWSC) is an international multi-disciplinary and interdisciplinary peer-reviewed open access journal which publishes papers on all aspects of space weather and space climate from a broad range of scientific and technical fields including solar physics, space plasma physics, aeronomy, planetology, radio science, geophysics, biology, medicine, astronautics, aeronautics, electrical engineering, meteorology, climatology, mathematics, economy, informatics.