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ENERGY BALANCE ANALYSIS OF LOW EARTH ORBITING SATELLITE

机译:低地球轨道卫星的能量平衡分析

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The satellite energy balance is one of important design requirements for the development of low earth orbiting satellite. Conventionally one orbit energy balance method was widely used for cartographic mission satellite; however this approach tends to make overestimation of required power therefore implements larger solar array and battery. One day energy balance approach can be an efficient method to derive optimal sizing of solar array and battery. And nowadays it is a world wide trend to apply one day energy balance approach method. However this approach needs to consider several factors to keep energy balance during one day. The maximum imaging time has to be limited for one day and also for one orbit. And the next cartographic mission has to be planned in advance before performing in order to keep daily energy balance. In this paper, one day energy balance concept of low earth orbiting (LEO) satellite is introduced. The major input parameters for the analysis are such as solar array off-point angle, battery size, solar array temperature including seasonal variation, and the mission scenario during one day. The solar array off-point angle was estimated based on the relationship between satellite attitude and the sun vector during mission operation. The solar array off-point angle results were shown at figure and the energy margin for each mission operation was shown at table 1. And the battery DOD (Depth of Discharge) was estimated based on spacecraft load profile and solar power generation. Finally, the energy margin analysis was performed in condition of no more than 50 minutes image per day and no more than 10 minute imaging times per one orbit. The table 2 shows final analysis results.
机译:卫星能量平衡是发展低地球轨道卫星的重要设计要求之一。传统上,一种轨道能量平衡方法被广泛用于制图任务卫星。然而,这种方法倾向于高估所需功率,因此实现了更大的太阳能电池板和电池。一天的能量平衡方法可能是一种推导太阳能电池板和电池最佳尺寸的有效方法。如今,应用一日能量平衡方法已成为世界范围的趋势。但是,此方法需要考虑多个因素以在一天中保持能量平衡。最大成像时间必须限制为一天和一个轨道。为了保持日常能量平衡,下一个制图任务必须在执行之前预先计划。本文介绍了低地球轨道(LEO)卫星的一天能量平衡概念。分析的主要输入参数包括太阳能电池板的偏角,电池大小,太阳能电池板温度(包括季节性变化)和一天中的任务场景。根据任务运行期间卫星姿态与太阳矢量之间的关系,估算了太阳阵列的偏角。太阳能电池阵列的偏角角结果如图所示,每次飞行任务的能量裕度如表1所示。根据航天器的负荷曲线和太阳能发电估算电池的DOD(放电深度)。最后,在每天不超过50分钟的图像且每个轨道不超过10分钟的成像时间的条件下执行能量裕度分析。表2显示了最终分析结果。

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