软误差效应下姿态估计算法的评价

J. Brum, T. K. Sartori, J. Lin, M. G. Trindade, H. Fourati, R. Velazco, R. P. Bastos
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引用次数: 0

摘要

航天工业一直在发射纳米卫星,以便减轻有效载荷的重量,并以比传统卫星更低的成本效益监测空间。在此背景下,姿态估计(AE)算法的应用变得越来越重要。本文评估了在基于仿真的故障注入活动下运行声发射算法的处理系统的有效性。这种方法能够直接在开发板的寄存器中模拟软错误,并允许在关键情况下提供证据,例如空间中参考组件的错误计算。结果和初步分析表明,在通用寄存器中匹配占主导地位,而在称为帧点的寄存器中存在一些故障,需要扩展故障注入活动以识别进一步的细节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Attitude Estimation Algorithm under Soft Error Effects
The space industry has been launching nanosatellites in order to reduce the weight of the payload and monitor space at a lower cost benefit than a conventional satellite. In this context, the use of Attitude Estimation (AE) algorithms have become more and more important. This paper evaluates the effectiveness of a processing system running an AE algorithm under an emulation-based fault injection campaign. This method is able to emulate soft errors directly in the development board's registers and allows to put in evidence critical situations, such as the wrong calculation of a reference component in space. Results and preliminary analysis suggest a predominance of matches in general-purpose registers and some failures in those called frame point, demanding extended fault injection campaign to identify further details.
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