|本期目录/Table of Contents|

基于显微视觉的伺服阀力矩马达气隙检测系统(PDF)

《纳米技术与精密工程》[ISSN:1672-6030/CN:12-1351/O3]

期数:
2017年4期
页码:
300-304
栏目:
精密测量
出版日期:
2017-07-15

文章信息/Info

Title:
Micro-Vision Based Measurement System for Air-Gaps on a Servo Valve Torque Motor
作者:
徐征 陈聿夫 王晓东 孙谦
辽宁省微纳米技术及系统重点实验室, 大连理工大学, 大连116085
Author(s):
Xu Zheng Chen Yufu Wang Xiaodong Sun Qian
Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116085, China
关键词:
伺服阀力矩马达显微视觉数据库
Keywords:
servo valve torque motor micro-vision database
分类号:
TP391.4
DOI:
10.13494/j.npe.20160019
文献标识码:
A
摘要:
伺服阀力矩马达气隙是影响电液伺服阀性能的重要因素.本文建立了一套基于显微视觉的力矩马达气隙检测平台,形成了集高效自动对焦、图像特征提取与检测于一体的视觉测量方法,其自动聚焦重复精度为7.9 μm,聚焦时间仅需16 s,测量精度与工具显微镜相当,而测量时间大幅度缩短,显著提高了工作效率;利用关系型数据库技术,实现测量数据存储、报表生成、图形化及分析,能根据气隙变化检测结果快速进行误差评判,并给出工艺修正建议,为伺服阀的精密装调提供多方面实验依据.
Abstract:
The air-gaps on a servo valve torque motor is an important factor influencing the properties of the electrohydraulic servo valve. In this paper, a detection system based on micro-vision is established, which is utilized to measure the air-gaps on a torque motor. And the algorithms for optical auto-focusing and feature extracting and detecting are developed. Results show that the repeatability of auto-focusing is 7.9 μm, and the time duration is only 16 s. The accuracy is comparable to that of the universal tool microscope; whereas the efficiency of measurement is significantly improved. With the Relational Database Management System, the functions for data management are implemented, including data storage, report export and graphic display and analysis. According to the massive air-gap measurement data, the system can quickly evaluate errors and provide suggestions for precise alignments. The developed system is useful to the measurement of air-gaps on a torque motor and can provide adequate evidence for the precise assembly of servo valve.

参考文献/References

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备注/Memo

备注/Memo:
收稿日期: 2016-05-20. 基金项目: 国家科技重大专项课题资助项目(2013ZX04001091). 作者简介: 徐征(1973—),男,博士,副研究员. 通讯作者: 王晓东,教授,xdwang@dlut.edu.cn.
更新日期/Last Update: 2017-12-20