Vibration sensor measurement method based on two-channel asynchronous sampling

XIAO Dong-lin; WU Bin; XIANG Han

doi:10.13873/J.1000-9787(2016)01-0146-03

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Vibration sensor measurement method based on two-channel asynchronous sampling

更新时间：2025-09-11

- Vibration sensor measurement method based on two-channel asynchronous sampling
- Vol. 35, Issue 1, Pages: 146-148(2016)
- 作者机构：
  
  浙江大学生物医学工程与仪器学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2016)01-0146-03
  CLC： TP212;TP274
- Published：2016
- 稿件说明：
移动端阅览
[1]肖栋林,吴宾,向函.基于双通道异步采样的振动传感器测量方法[J].传感器与微系统,2016,35(01):146-148.

XIAO Dong-lin, WU Bin, XIANG Han. Vibration sensor measurement method based on two-channel asynchronous sampling[J]. 2016, 35(1): 146-148.
[1]肖栋林,吴宾,向函.基于双通道异步采样的振动传感器测量方法[J].传感器与微系统,2016,35(01):146-148. DOI： 10.13873/J.1000-9787(2016)01-0146-03.

XIAO Dong-lin, WU Bin, XIANG Han. Vibration sensor measurement method based on two-channel asynchronous sampling[J]. 2016, 35(1): 146-148. DOI： 10.13873/J.1000-9787(2016)01-0146-03.

摘要

高精度振动传感器数字闭环系统对采样精度和实时性有很高的要求。为了解决测量环节中采样速率和精度相互制约的问题

提出一种对振动传感器信号进行双通道异步采样

在高速通道进行自适应Kalman滤波

同时利用低速通道的数据进行实时精度补偿的测量方案。考虑到数字闭环系统对采样率、高精度和实时性的要求

详细设计了双通道异步测量电路和异步数据融合算法。仿真实验表明:该方法精度上比传统方法有了明显提高

并且实时性优于传统的抽样率变换方法。

Abstract

Digital closed-loop system of high precision vibration sensor demands for high sampling precision and real-time performance. In order to solve problem of constraints of sampling rate and precision in measurement

a two-channel asynchronous sampling method is proposed

adaptive Kalman filtering is carried out in high speed channel and low speed channel data is used for realtime precision compensation. Considering sampling rate

high precision and real-time requirements of digital closed-loop system

two-channel asynchronous measuring circuit and asynchronous data fusion algorithm are designed in detail. Simulation experiment show that precision of this method is enhanced than traditional method

and real-time performance is prior to the traditional sampling rate conversion method.

关键词

Keywords

references

基于LMS算法的多传感器数据加权融合方法 [J]. 陈咨余,张新伟,叶凌云. 计算机工程与应用 . 2014(20)

基于最少拍无波纹算法的高精度动态标准源反馈控制 [J]. 叶凌云,陈波,张建,宋开臣. 浙江大学学报(工学版) . 2013(09)

多片ADC并行采集系统关键技术的研究 [D]. 杨辰. 电子科技大学 2013

多传感器多源信息融合理论及应用[M]. 科学出版社 , 彭冬亮, 2010

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