Power Quality Monitoring Device of EMU Traction Network Based on Zynq

Jiale Zhang, Zhengwei Liu, Chao Guan, Dei Ha, Song Xiang

2024

Abstract

Aiming at the power quality problem of traction network during the operation of moving train sets, a traction network power quality monitoring device is designed in the paper. The device uses the XC7Z045 chip of the Zynq-7000 series as the main control chip, and adopts a modularized design, including the signal acquisition module, signal processing module, data transmission module and power supply module. The signal acquisition module designs a 1000:1 large-ratio resistor-capacitor buck circuit and a current sampling circuit with a gain of 3.9, and realizes the high-speed synchronous acquisition of network voltage and network current based on the AD9251 chip; the signal processing module completes the high-speed processing of data by using the built-in FPGA+ARM dual-core architecture of the main control chip; the data transmission module uses the Ethernet chip 88E1116R and network transformer HR682430E to construct the PAC and the data transmission module; the signal processing module uses the Zynq-7000 series XC7Z045 chip as the main control chip. The data transmission module uses Ethernet chip 88E1116R and network transformer HR682430E to build PHY Gigabit network circuit, which realizes high-speed and reliable data transmission; the power supply module is based on a variety of power management chips such as TPS54560, SY8263, and so on, and the logic of power supply architecture according to the multi-stage conversion, which improves the power supply reliability of the hardware circuits. After test verification, the device has stable performance and high calculation accuracy, and the calculation error of each parameter is within 0.5%.

Paper Citation

in Harvard Style

Zhang J., Liu Z., Guan C., Ha D. and Xiang S. (2024). Power Quality Monitoring Device of EMU Traction Network Based on Zynq. In Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS; ISBN 978-989-758-715-3, SciTePress, pages 46-52. DOI: 10.5220/0012876500004536

in Bibtex Style

@conference{dmeis24,
author={Jiale Zhang and Zhengwei Liu and Chao Guan and Dei Ha and Song Xiang},
title={Power Quality Monitoring Device of EMU Traction Network Based on Zynq},
booktitle={Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS},
year={2024},
pages={46-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012876500004536},
isbn={978-989-758-715-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS
TI - Power Quality Monitoring Device of EMU Traction Network Based on Zynq
SN - 978-989-758-715-3
AU - Zhang J.
AU - Liu Z.
AU - Guan C.
AU - Ha D.
AU - Xiang S.
PY - 2024
SP - 46
EP - 52
DO - 10.5220/0012876500004536
PB - SciTePress