Experimental Applications on SRAM-Based FPGA for the NanosatC-BR2 Scientific Mission

F. Benevenuti, E. Chielle, Jorge Tonfat, L. Tambara, F. Kastensmidt, Carlos A. Zaffari, João Baptista dos Santos Martins, O. Durão
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Abstract

The use of reconfigurable devices, such as FPGAs, in nanosatellites allows the prototyping and evaluation in flight of different categories of designs of interest to the aerospace technology. It includes blending of experimental or well-proven legacy software executing on microprocessors with out-of-core accelerators and dedicated logic circuits, or even the conversion of such software to logic circuits using high-level synthesis (HLS). An additional feature discussed in this work, which is relevant to the scientific mission of the NanosatC-BR2 nanosatellite, is the use of SRAM-based FPGA as radiation particle sensor exploiting the susceptibility of SRAM memory to bit-flips caused by radiation. The process for bit-flip recording by bitstream readback is presented as well as a set of experimental designs implemented on the FPGA for data processing. As the status of these experimental designs must be reliably tracked by a supervisory circuit implemented on the same SRAM-based FPGA, errors caused by the bit-flips must be considered. Mitigation using triple modular redundancy (TMR) is analyzed using fault injection, suggesting that a fine grain distributed TMR approach can increase mission time of the supervisory module by 8x at a target reliability of 95%, but with a penalty of 40% in the estimated total power consumption of the FPGA. Conversely, a blockwise TMR approach can increase mission time of the supervisory module by 6x at the same target reliability with no increase in the estimated total power consumption.
基于sram的FPGA在纳米卫星c - br2科学任务中的实验应用
在纳米卫星中使用可重构器件,如fpga,可以对航空航天技术感兴趣的不同类别的设计进行原型设计和飞行评估。它包括混合在微处理器上执行的实验性或经过验证的遗留软件,以及内核外加速器和专用逻辑电路,甚至使用高级合成(HLS)将此类软件转换为逻辑电路。这项工作中讨论的另一个与NanosatC-BR2纳米卫星的科学任务相关的特征是使用基于SRAM的FPGA作为辐射粒子传感器,利用SRAM存储器对辐射引起的位翻转的敏感性。介绍了用比特流回读进行比特翻转记录的过程,并在FPGA上实现了一套数据处理的实验设计。由于这些实验设计的状态必须由在同一块基于sram的FPGA上实现的监控电路可靠地跟踪,因此必须考虑由位翻转引起的误差。利用故障注入分析了采用三模冗余(TMR)的缓解方法,表明细粒度分布式TMR方法可以在目标可靠性为95%的情况下将监控模块的任务时间增加8倍,但在FPGA的估计总功耗中损失40%。相反,在相同的目标可靠性下,分块TMR方法可以将监控模块的任务时间增加6倍,而不会增加估计的总功耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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