Research for reducing random error of grating measuring system

CHEN Rui-fen; LIU Qing

doi:10.13873/j.1000-97872006.10.008

Chinese

您当前的位置：

首页 >

文章列表页 >

Research for reducing random error of grating measuring system

更新时间：2025-09-11

- Research for reducing random error of grating measuring system
- Issue 10, Pages: 22-24(2006)
- 作者机构：
  
  1. 南京师范大学数学与计算机科学学院
  2. 南京师范大学数学与计算机科学学院,江苏,南京,210097
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872006.10.008
  CLC： TP274
- Published：2006
- 稿件说明：
移动端阅览
[1]陈瑞芬,刘清.减小光栅测量系统随机误差的研究[J].传感器与微系统,2006(10):22-24.

CHEN Rui-fen, LIU Qing. Research for reducing random error of grating measuring system[J]. 2006, (10): 22-24.
[1]陈瑞芬,刘清.减小光栅测量系统随机误差的研究[J].传感器与微系统,2006(10):22-24. DOI： 10.13873/j.1000-97872006.10.008.

CHEN Rui-fen, LIU Qing. Research for reducing random error of grating measuring system[J]. 2006, (10): 22-24. DOI： 10.13873/j.1000-97872006.10.008.

摘要

在光栅测量系统中

为了提高光栅传感器的测量精度需要对传感器输出的莫尔条纹信号进行细分

但高斯白噪声和脉冲型噪声的存在会影响细分精度。减小噪声干扰的方法一般采用中值和平均滤波

而该方法只适用在静态测量中

对于时变的莫尔条纹信号实现困难。由多项式预测滤波器根据多个已测量的值

预测出当前的测量信号

预测的信号和实际测量信号经过中值滤波后输出

减小光栅测量系统的噪声。最后

通过应用实验验证了该方法的有效性。

Abstract

In grating measurement system

the Moiré signal is subdivided for enhancing accuracy of grating sensor

but the white Gaussian noises and impulsive noises is main cause of impacting accuracy.Generally

median and average filtering is used for denoising

nevertheless

they can be only applied in static signal and can not be applied in dynamic Moiré signal.A value of current signal is predicted by polynomial finite impulse response（FIR） predictors according to many previous samples.The output of the hybrid filter is the median of prediction value and the actual signal value in the middle of filter window.The method is proved to be effective by the simulation experimental.

关键词

Keywords

references

用DSP实现光栅高准确度细分技术 [J]. 刘清. 传感器技术 . 2003(07)

新型光栅信号数字细分技术及其误差分析 [J]. 李怀琼,陈钱,王钰. 计量学报 . 2001(04)

用于减小随机误差的中值－模糊滤波器 [J]. 于盛林,刘文波. 计量学报 . 1995(04)

不依赖于长度基准的光栅细分精度的评定方法 [J]. 王春海,张国雄,景芳盛. 计量学报 . 1995(01)

现代控制理论[M]. 机械工业出版社 , 刘豹,唐万生主编, 2006

最优化方法[M]. 高等教育出版社 , 施光燕,董加礼编, 1999

计量光栅技术[M]. 机械工业出版社 , 张善钟等编著, 1985

Views

163

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on detection of heavy metals in shellfish based on spectroscopy

Research on improved median filtering algorithm fused with gradient information

A pore detection algorithm based on joint feature constraint

Design of adaptive threshold edge detection system based on FPGA

Router traffic forecasting method based on improved BP neural network

Related Author

LIU Yao

MENG Xiangli

QING Zhiyong

WANG Pengfei

CAI Yu

DU Zhonghua

MA Xiang

GONG Cailan

Related Institution

School of Electronic and Electrical Engineering,Lingnan Normal University

Branch Factory,Heilongjiang North Tool Limited Company

School of Mechanical Engineering,Nanjing University of Science and Technology

Key Laboratory of Infrared System Detection and Imaging Technology,Chinese Academy of Sciences

Shanghai Institute of Technical Physics of Chinese Academy of Sciences

⁰