Time synchronization(TS)is crucial for ensuring the secure and reliable functioning of the distribution power Internet of Things(IoT).Multi-clock source time synchronization(MTS)has significant advantages of high reli...Time synchronization(TS)is crucial for ensuring the secure and reliable functioning of the distribution power Internet of Things(IoT).Multi-clock source time synchronization(MTS)has significant advantages of high reliability and accuracy but still faces challenges such as optimization of the multi-clock source selection and the clock source weight calculation at different timescales,and the coupling of synchronization latency jitter and pulse phase difference.In this paper,the multi-timescale MTS model is conducted,and the reinforcement learning(RL)and analytic hierarchy process(AHP)-based multi-timescale MTS algorithm is designed to improve the weighted summation of synchronization latency jitter standard deviation and average pulse phase difference.Specifically,the multi-clock source selection is optimized based on Softmax in the large timescale,and the clock source weight calculation is optimized based on lower confidence bound-assisted AHP in the small timescale.Simulation shows that the proposed algorithm can effectively reduce time synchronization delay standard deviation and average pulse phase difference.展开更多
时间交织采样是提高模数转换器采样率的一种有效途径。为了完成时间交织采样的通道失配误差方法评估,提出并设计了一套基于4通道时间交织的FPGA高速模数转换采样系统。系统由前端模拟电路、采样阵列、多相时钟电路模块、基于FPGA的数据...时间交织采样是提高模数转换器采样率的一种有效途径。为了完成时间交织采样的通道失配误差方法评估,提出并设计了一套基于4通道时间交织的FPGA高速模数转换采样系统。系统由前端模拟电路、采样阵列、多相时钟电路模块、基于FPGA的数据缓冲与修正处理模块构成。系统采样输出数据通过上传到上位机进行显示与性能指标分析。测试结果表明,该TIADC系统通过对失配误差的数字后端补偿后能稳定工作在1 GS/s采样率。其采样有效位与平均信噪比分别达到7.03 bit与44.1 d B,可以应用于采样失配修正方法的验证与评估。展开更多
基金supported by Science and Technology Project of China Southern Power Grid Company Limited under Grant Number 036000KK52200058(GDKJXM20202001).
文摘Time synchronization(TS)is crucial for ensuring the secure and reliable functioning of the distribution power Internet of Things(IoT).Multi-clock source time synchronization(MTS)has significant advantages of high reliability and accuracy but still faces challenges such as optimization of the multi-clock source selection and the clock source weight calculation at different timescales,and the coupling of synchronization latency jitter and pulse phase difference.In this paper,the multi-timescale MTS model is conducted,and the reinforcement learning(RL)and analytic hierarchy process(AHP)-based multi-timescale MTS algorithm is designed to improve the weighted summation of synchronization latency jitter standard deviation and average pulse phase difference.Specifically,the multi-clock source selection is optimized based on Softmax in the large timescale,and the clock source weight calculation is optimized based on lower confidence bound-assisted AHP in the small timescale.Simulation shows that the proposed algorithm can effectively reduce time synchronization delay standard deviation and average pulse phase difference.
文摘时间交织采样是提高模数转换器采样率的一种有效途径。为了完成时间交织采样的通道失配误差方法评估,提出并设计了一套基于4通道时间交织的FPGA高速模数转换采样系统。系统由前端模拟电路、采样阵列、多相时钟电路模块、基于FPGA的数据缓冲与修正处理模块构成。系统采样输出数据通过上传到上位机进行显示与性能指标分析。测试结果表明,该TIADC系统通过对失配误差的数字后端补偿后能稳定工作在1 GS/s采样率。其采样有效位与平均信噪比分别达到7.03 bit与44.1 d B,可以应用于采样失配修正方法的验证与评估。
