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Design of Self-repairing Control Circuit for Brushless DC Motor Based on Evolvable Hardware

机译:基于再溶解的硬件无刷直流电动机自修复控制电路的设计

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Brushless DC motor is widely used in the space industry owing to its high performance, but the complex application environment brings a lot of damage factors to the motor. For example, the space radiation may damage the circuit device, and strong electromagnetic fields may interfere with motor operation. Therefore, the high reliability of the motor system becomes increasingly important. In order to improve the reliability of the motor system, a self-repairing control circuit was presented in the past research, it adopt evolvable hardware (EHW) method based on virtual reconfigurable circuit (VRC). But this method has a high resource overhead and a large circuit delay. Therefore, a self-repairing control system designed in EHW based on Dynamic Partial Reconfiguration (DPR) has been presented in this paper. It is a system on a programmable chip (SOPC) with Evolutionary Algorithm (EA) implemented on the on-chip soft core processor. The self-repairing motor control circuit has been implemented on the ML605 FPGA platform. The self-repair results are given under varying degrees of hardware failure; and the reliability and resource overhead of the system have been analyzed. The experiment results show that the EHW based on DPR can reduce the resource cost and circuit delay, compared with the EHW based on VRC. Even if the number of damaged PE arrived at 27.8%, the system can still find new control circuit solution and achieve self-repair, thus the reliability of the system has been improved significantly.
机译:由于其高性能,无刷直流电动机广泛应用于空间行业,但复杂的应用环境为电机带来了大量的损坏因素。例如,空间辐射可能损坏电路装置,并且强的电磁场可能干扰电动机操作。因此,电动机系统的高可靠性变得越来越重要。为了提高电动机系统的可靠性,在过去的研究中提出了一种自修复控制电路,采用基于虚拟可重构电路(VRC)的不可溶解的硬件(EHW)方法。但这种方法具有高资源开销和大电路延迟。因此,本文介绍了基于动态部分重新配置(DPR)的EHW中设计的自修复控制系统。它是一个可编程芯片(SOPC)的系统,具有在片上软核心处理器上实现的进化算法(EA)。自修复电机控制电路已在ML605 FPGA平台上实现。自修复结果在不同程度的硬件故障下给出;并分析了系统的可靠性和资源开销。与基于VRC的EHW相比,实验结果表明,基于DPR的EHW可以降低资源成本和电路延迟。即使损坏的PE数量达到27.8%,系统仍然可以找到新的控制电路解决方案并实现自修复,因此系统的可靠性显着提高。

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