Incremental absolute grating ruler-based absolute displacement detection method

A technology of absolute grating ruler and absolute displacement, which is applied in measuring devices, optical devices, instruments, etc., can solve the problems of inability to increase the allowable measurement speed, reduction of displacement measurement accuracy, physical model error, etc., to solve the contradiction between speed and accuracy. , Improve the accuracy and stability, eliminate the effect of manufacturing errors

Active Publication Date: 2019-09-20
FOSHAN HUADAO SUPER PRECISION TECH CO LTD
View PDF8 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Through the application of digital image processing technology, the speed of displacement measurement is effectively improved, the manufacturing requirements of displacement sensors are reduced, and the cost and installation requirements are reduced. However, these methods have physical model errors and environmental noise interference, which greatly reduces the displacement measurement accuracy.
On the other hand, the document "A high-resolution and high-response grating nano-measurement subdivision method" proposes a high-resolution, high-response grating nano-measurement subdivision method-dynamic tracking subdivision method. When measuring resolution, the frequency response speed is 100kHz, but the allowable speed of measurement is only 0.5mm / s, which still cannot improve the allowable speed of measurement

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Incremental absolute grating ruler-based absolute displacement detection method
  • Incremental absolute grating ruler-based absolute displacement detection method
  • Incremental absolute grating ruler-based absolute displacement detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] Generally, the resolution of a single grating ruler used as a displacement sensor can reach the nanometer level, but due to the limitation of the scanning frequency of signal detection, the maximum allowable speed of a single grating ruler detection is often inversely proportional to its measurement resolution. To achieve nanoscale displacement For precision measurement, the system motion speed will be limited by the grating displacement sensor measurement limit speed (generally 0.5um).

[0042] In order to solve the above problems, the present invention proposes an incremental absolute grating ruler and its displacement detection method. On the one hand, the detection accuracy is improved through the subdivision of the image pixels of the grating ruler (only relevant to the resolution of the camera, not to the resolution of the grating ruler) ; On the other hand, by downloading the weight and offset parameters of the neural network to the FPGA, a higher measurement spee...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an incremental absolute grating ruler-based absolute displacement detection method. The method included the following steps that: an incremental type grating ruler is marked, so that the incremental type grating ruler can be converted into an incremental absolute grating ruler, and the uniqueness of each grid line is guaranteed; grating images are collected and de-noised, and the grid lines of the grating ruler are extracted, a neural network model for deep learning is established, each grid line is trained, and the trained neural network model is stored; a mathematical model for displacement detection is established, the image of a grating ruler to be subjected to displacement detection is collected, and the trained neural network model is used for carrying out grid line recognition, and a recognized grid line number is fed back to the mathematical model, so that a displacement detection value can be calculated. According to the method of the invention, the incremental type grating ruler is converted into the incremental absolute grating ruler; the functions of the absolute grating ruler are realized through an incremental mode; and the manufacturing precision of the grating ruler is greatly reduced.

Description

technical field [0001] The invention relates to the technical field of grating ruler displacement detection, in particular to a displacement detection method for converting incremental stripes into absolute codes. Background technique [0002] With the continuous improvement of the integration of microelectronic products, higher speed and precision requirements are put forward for the displacement detection system of microelectronic manufacturing equipment. [0003] With the development of microfabrication technology, especially the continuous improvement of the integration of microelectronic products, the size of its component components is reduced accordingly. In the process of processing and mounting these components, the positioning accuracy of microelectronic manufacturing equipment Higher requirements are put forward, and the precision measurement system is required to develop towards high precision and high speed. Therefore, it is of great significance to improve the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01B11/02
CPCG01B11/02
Inventor 杨志军衡园李俊颖孙晗熊少旺高守国陈新王晗
Owner FOSHAN HUADAO SUPER PRECISION TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products