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基于分布式节点的IEEE 1588系统主时钟故障时精密时钟同步协作维持

Distributed Nodes-Based Collaborative Sustaining of Precision Clock Synchronization Upon Master Clock Failure in IEEE 1588 System.

作者信息

Son Kyou Jung, Chang Tae Gyu

机构信息

Department of Electrical Engineering, Myongji University, Yongin 17058, Korea.

School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974, Korea.

出版信息

Sensors (Basel). 2020 Oct 13;20(20):5784. doi: 10.3390/s20205784.

Abstract

This paper proposes a distributed nodes-based clock synchronization method to sustain sub-microsecond precision synchronization of slave clocks upon master clock failure in IEEE 1588 PTP (precision time protocol) system. The sustaining is achieved by synchronizing the slave clocks to the estimated reference clock which is obtained from the analysis of distributed slave clocks. The proposed method consists of two clock correction functions (i.e., a self-correction and a collaborative correction, respectively). Upon master failure, the self-correction estimates a clock correction value based on the clock model which is constructed during normal PTP operation. The collaborative correction is performed in the preselected management node. The management node estimates a reference clock by collecting and analyzing clock information gathered from the other slave clocks. The performance of the proposed method is simulated by computer to show its usefulness. It is confirmed that the fifty (50) clock model-based collaborative correction maintains 10 second PTP accuracy for 10 min prolonged period after the master failure when tested with clock offset variations less than 50 ppm.

摘要

本文提出了一种基于分布式节点的时钟同步方法,以在IEEE 1588精密时间协议(PTP)系统中主时钟出现故障时,维持从时钟亚微秒级精度的同步。这种维持是通过将从时钟与估计的参考时钟同步来实现的,该参考时钟是从对分布式从时钟的分析中获得的。所提出的方法由两个时钟校正功能组成(即分别为自校正和协作校正)。在主时钟发生故障时,自校正基于在正常PTP操作期间构建的时钟模型估计时钟校正值。协作校正在预先选定的管理节点中执行。管理节点通过收集和分析从其他从时钟收集到的时钟信息来估计参考时钟。通过计算机模拟了所提出方法的性能,以展示其有效性。结果证实,当测试时钟偏移变化小于50 ppm时,基于五十(50)时钟模型的协作校正在主时钟发生故障后10分钟的延长时间内保持10秒的PTP精度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c67/7601036/a9461ce94d20/sensors-20-05784-g001.jpg

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