散斑运动模糊复原的直线电机动子位置检测

赵吉文; 窦少昆; 赵静; 宋俊材; 王辉

doi:10.3788/OPE.20182602.0363

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散斑运动模糊复原的直线电机动子位置检测

微纳技术与精密机械 | 更新时间：2020-07-05

- 散斑运动模糊复原的直线电机动子位置检测
- Position measurement of linear electric motor rotor based on restoration of motion blur speckle
- 光学精密工程 2018年26卷第2期页码：363-370
- 作者机构：
  
  安徽大学电气工程与自动化学院, 安徽合肥 230601
- 作者简介：
  
  [ "赵吉文(1973-), 男, 安徽砀山人, 博士生导师, 2005年于中国科学技术大学获得博士学位, 2007年于中国科学技术大学博士后出站, 主要研究方向为高精度直线伺服系统、机器人等。E-mail:ustczjw@ahu.edu.cn" ]
  [ "赵静(1985-), 女, 安徽淮北人, 博士, 讲师, 2012年于中国科学技术大学获得博士学位, 主要研究方向为直线电机位置检测、光测力学等。E-mail:zhaojing_ustc@163.com" ]
- 基金信息：
  
  国家自然科学基金项目资助(51577001);国家自然科学基金项目资助(51637001);安徽省教育厅重点项目资助(KJ2016A786)
- DOI：10.3788/OPE.20182602.0363
  中图分类号： TM301;TH82
- 收稿日期：2017-05-24，
  
  录用日期：2017-8-1，
  
  纸质出版日期：2018-02-25
- 稿件说明：
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赵吉文, 窦少昆, 赵静, 等. 散斑运动模糊复原的直线电机动子位置检测[J]. 光学精密工程, 2018,26(2):363-370.

Ji-wen ZHAO, Shao-kun DOU, Jing ZHAO, et al. Position measurement of linear electric motor rotor based on restoration of motion blur speckle[J]. Optics and precision engineering, 2018, 26(2): 363-370.
赵吉文, 窦少昆, 赵静, 等. 散斑运动模糊复原的直线电机动子位置检测[J]. 光学精密工程, 2018,26(2):363-370. DOI： 10.3788/OPE.20182602.0363.

Ji-wen ZHAO, Shao-kun DOU, Jing ZHAO, et al. Position measurement of linear electric motor rotor based on restoration of motion blur speckle[J]. Optics and precision engineering, 2018, 26(2): 363-370. DOI： 10.3788/OPE.20182602.0363.

摘要

图像测量技术具有非接触性、抗干扰性等优点被越来越多地应用到双次级永磁直线电机动子位置检测中。针对图像采集过程中所产生的图像模糊问题，提出了一种精确辨识运动模糊参数的方法，实现了直线电机动子位置的精确测量。采用数字散斑图像作为原始拍摄面，通过相机获得包含动子位置信息的序列运动模糊图像。利用奇异值分解对运动模糊图像进行去噪重构预处理，降低噪声对运动模糊参数辨识精度的影响。求取预处理后图像的倒谱图，通过主成分分析找到倒谱图二值化后亮线的主矢量方向即为模糊方向；同时作出倒谱三维图，利用其负峰值中两个最小值坐标求出模糊长度。根据计算的模糊参数值复原模糊散斑图像，再利用图像亚像素测量方法获得动子位置。实验结果表明：本文算法的计算耗时比Radon算法缩短了5倍多，不同位移下的平均绝对误差仅为0.084 7 mm，满足直线电机动子位置检测的实时性和高精度要求。

Abstract

Image measuring technique is more and more applied to the double secondary permanent magnet linear motor rotor position detection because of the advantages of non-contact and anti-interference. Aiming to the motion blur problem of image acquisition process

an accuration identification method of motion blur parameters was proposed to realize the precise measurement of linear electric motor rotor position. By using digital speckle image as the original photo surface

the motor rotor position information of sequence motion blurred image was obtained by camera. The singular value decomposition(SVD) was used to denoise the motion blur image for reducing the effect of noise on identification accuracy. The cepstrum image was calculated

and main direction of the cepstrum binary bright line

which was the blur direction

was found by using principal component analysis(PCA). At the same time

the cepstrum 3D image was made by using the two minimum values of its negative peak to calculate blur length. According to the parameters calculated

the blur speckle image was recovered

and rotor position was obtained by using sub-pixel image measurement method. Experimental results show that:the time consumption of proposed method is five times shorter than the Radon method. And the average absolute error under different dispplacements is only 0.084 7 mm

which satisfy the requirments of real time and high precision in linear electric motor rotor position measurement.

关键词

Keywords

references

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