The Application of the Precision Electron Transmission Chain in the Rotary Screen Printing Machine

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Abstract:

This paper introduces a high-precision, closed-loop and automatic checking marks synchronization control system based on STM32.It enhances the multi-axis motion accuracy as the goal synchronization control. The position synchronization arithmetic of cylinders and error compensation arithmetic for guide belt speed is to improve motion control accuracy of the synchronization between cylinders nodes, and realize absolute position synchronization control between cylinders. In the practical application, the system which will improve the grade of textile has simple structure ,low cost, highly accuracy and quickly dynamic response, and it has received satisfactory control effect. it is has the very high value of market popularization.

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577-580

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Pengfei Li, Luhua Nie, Bo Wang, Jiakun Li. Research on Rotary Screen Printing Machine Multi-axis Motion Control System Based on CAN Bus[C]. The 2nd IEEE International Conference on Advanced Computer Control, 2010. 1: 2347-2350.

DOI: 10.1109/icacc.2010.5486777

Google Scholar

[2] Zhigang Lv, Cuixia Liu. Detecting System for Register Precision of Rotary-screen Printing Machine[C]. International Conference on Computer and Communication Technologies in Agriculture Engineering, 2010: 305-307.

DOI: 10.1109/cctae.2010.5544575

Google Scholar

[3] Pengfei Li, Luhua Nie, Junfeng Jing. Application of CANopen and Modbus Protocol in Rotary Screen Printing Machine Control System[C]. 2nd International Conference on Signal Processing System, 2010: 2347-2350.

DOI: 10.1109/icsps.2010.5555385

Google Scholar

[4] Junfeng Jing, Xuejuan Kang, Pengfei Li. Detection of the fabric printing quality based on the machine vision[C]. International Conference on Intelligent Computation Technology and Automation, 2010: 1245-1248.

DOI: 10.1109/icicta.2010.255

Google Scholar