Volume 7, Issue 1, June 2020, Pages 1 - 6
Design and Application of Intelligent Networking Integration System with CANopen Protocol for Tool Machine Production Line
Chau-Chung Song1, 2, *, Yu-Wei Ho2, 3, Yu-Kai Chen1, Chung-Wen Hung4
1Department of Aeronautical Engineering, National Formosa University, Huwei, Yunlin, Taiwan
2Smart Machine and Intelligent Manufacturing Research Center, National Formosa University, Huwei, Yunlin, Taiwan
3Institute of Aeronautical and Electronic Technology, National Formosa University, Huwei, Yunlin, Taiwan
4Department of Electrical Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan
*Corresponding author. Email: firstname.lastname@example.org
Received 24 October 2019, Accepted 19 February 2020, Available Online 14 May 2020.
- 10.2991/jrnal.k.200512.001How to use a DOI?
- Production line; CANopen protocol; networking integration system; tool machine
In this paper, the intelligent networking integration system is designed and constructed by applying the Controller Area Network (CAN)open profiles as communication protocol for tool machine production line. While the basic network management and data transmission is followed by the dictionary objects in CANopen CiA301 protocol, the axial motor of tool machine needs to implement with the motor motion control specification subjected to the CANopen CiA402 protocol. The monitoring supervisory control and data acquisition system communicates with each node with CANopen protocol through CAN Bus to complete the task of constructing and managing the entire network system.
- © 2020 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Chau-Chung Song AU - Yu-Wei Ho AU - Yu-Kai Chen AU - Chung-Wen Hung PY - 2020 DA - 2020/05/14 TI - Design and Application of Intelligent Networking Integration System with CANopen Protocol for Tool Machine Production Line JO - Journal of Robotics, Networking and Artificial Life SP - 1 EP - 6 VL - 7 IS - 1 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.200512.001 DO - 10.2991/jrnal.k.200512.001 ID - Song2020 ER -