Font Size: a A A

Development Of Alignment Device Based On Machine Vision

Posted on:2020-07-07Degree:MasterType:Thesis
Country:ChinaCandidate:N LiuFull Text:PDF
GTID:2392330611498561Subject:Engineering
Abstract/Summary:PDF Full Text Request
Automation equipments such as assembly machine,dispenser,laminating machine,marking machine,loading and unloading machine are required to have the product alignment function.Jigs are often used in traditional operation,which may easily lead to position deviation,high scrap rate and R&D cost and so on.Machine vision alignment has the characteristics of non-contact,high precision and speed,which can solve problems in above situations.However,machine vision controller and motion controller of most alignment devices in the market are separated,with high price,complex system and low communication rate.The main purpose of this dissertation is to develop an integrated alignment device based on machine vision.It solves the problem of position deviration in traditional mode.Compared with the separated kind,it has higher function integration,lower hardware cost and system complexity,improves the alignment performance,and has higher practical value in industrial production.This alignment device uses machine vision positioning technology to get position deviation,Ether CAT technology to realize motion control function.Machine vision technology mainly adopts template matching algorithm based on image features.The selection and configuration of hardware devices such as industrial cameras are carried out,and the alignment software is developed.The motion control function is realized by Ether CAT technology.This dissertation introduces its operation principle,and uses Twin CAT to configure parameters of motor drivers.Referring to SOEM,the master station control program is compiled.In this dissertation,a visual zero setting method is proposed.The position of the platform is obtained by machine vision software,and then the X-axis and Y-axis origin regression motion of the alignment platform is realized by controlling the alignment platform.No limit sensors or zero sensors are required.The coordinate transformation algorithm for simultaneous coordinate movement of XYC axis is studied.Compared with the method of aligning C-axis first and then XY-axis,this method improves the alignment speed.In order to verify the alignment control system,the mechanical structure of the alignment platform and the electrical structure are designed,and the assembly and debugging of the experimental device are carried out.Experiments show that the alignment control system meets the requirements of development.
Keywords/Search Tags:machine vision, alignment, template matching, motion control, EtherCAT
PDF Full Text Request
Related items