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基于扩展PI抗扰补偿器的高精度时间同步控制

代学武 贾志安 崔东亮 柴天佑

自动化学报2023,Vol.49Issue(12):2520-2531,12.
自动化学报2023,Vol.49Issue(12):2520-2531,12.DOI:10.16383/j.aas.c210676

基于扩展PI抗扰补偿器的高精度时间同步控制

Precision Time Synchronization by Extended PI Disturbance Compensator

代学武 1贾志安 1崔东亮 1柴天佑1

作者信息

  • 1. 东北大学流程工业综合自动化国家重点实验室 沈阳 110819
  • 折叠

摘要

Abstract

Precision time synchronization is one of the enabling technologies for mission-critical industrial net-worked control systems.To address the precision degradation due to crystal oscillator's frequency drift caused by external disturbances and environment changes,such as the periodic acceleration and vibration which are and com-monly found in industrial environments,this paper proposes a novel disturbance compensation structure based on an extended proportional integral(PI)observer for effectively eliminating the effects of periodic disturbances.A dis-turbance rejection feedback control method is proposed to achieve the precision time synchronization.The pro-posed extended PI disturbance compensator overcomes the zero-point invariance limitation of the conventional dis-turbance observer and a zero-point configuration is adopted to make full use of the rank deficiency of the transfer function matrix(TFM)at zeros of the closed-loop system to achieve the compensation effect for frequency-specific disturbance signals.The stability of the proposed controller and disturbance compensator is proved and the conver-gence domain of the controller parameters is also given.Through the simulation experiments of the wireless net-work based on measured parameters,it is verified that the proposed method significantly outperforms the conven-tional observers and compensators and synchronization errors within 4 μs are achieved under 5 g periodic vibra-tion.

关键词

扩展PI抗扰补偿器/零极点优化/时间同步/网络控制系统/周期性扰动

Key words

Extended PI disturbance compensator/pole-zero optimization/time synchronization/network control systems/periodic disturbances

引用本文复制引用

代学武,贾志安,崔东亮,柴天佑..基于扩展PI抗扰补偿器的高精度时间同步控制[J].自动化学报,2023,49(12):2520-2531,12.

基金项目

国家自然科学基金(61773111,61790574,61991400,61991404),黑龙江省"百千万"工程科技重大专项(2020ZX03A02),2020年度辽宁省科技重大专项计划(2020JH1/10100008)资助Supported by National Natural Science Foundation of China(61773111,61790574,61991400,61991404),the Key Science and Technology Project of Heilongjiang Province(2020ZX03A02),and Science and Technology Major Project 2020 of Liaoning Province(2020JH1/10100008) (61773111,61790574,61991400,61991404)

自动化学报

OA北大核心CSCDCSTPCD

0254-4156

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