基于FPGA的故障修复演化技术研究

演化硬件的自修复特性能够有效解决电路系统的可修复性故障，但演化硬件存在电路演化速度慢、演化成功率不高的缺陷，如何在修复约束期限内完成电路演化成为关键难点。提出一种基于演化硬件的实时系统容错架构，通过建立故障树实时监测电路故障，利用故障补偿机制维持系统正常运行，并采用演化硬件技术修复电路故障，实现故障的在线实时修复。采用FPGA构建容错系统测试环境，通过随机故障注入对比验证不同演化算法的自修复能力,实验结果表明，在实时性约束下故障电路的修复率达到95%，有效提升了系统的稳定性和可靠性。

Fault recovery evolution technique based on FPGA

The self repairing feature of evolution hardware can effectively recover repairable faults of circuit systems. Due to the slow rate and low success rate in circuit evolution process, how to accomplish the evolution within the time constraint becomes a major challenge. We propose a real time fault tolerant system based on evolution hardware, in which fault analysis trees are used to monitor circuit faults in real time，a fault compensation mechanism to maintain the normal operation of the system, and the evolution hardware technique is adopted to repair circuit faults so as to realize online real time repair of faults. We test the fault tolerant system on FPGA through random fault injection. Several evolutionary algorithms are used to verify the self repairing capability of the fault tolerant system. The results show that the repair rate of the fault circuit can reach 95% under the real time constraint and the stability and reliability of the system are improved.