Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)

Development of an Automatic Master batch Dispensing System with Iterative Learning Control

Authors
Peigang Li, Xianying Feng, Fuxin Du, Wenping Liu, Jian Zheng
Corresponding Author
Peigang Li
Available Online September 2017.
DOI
10.2991/amee-17.2017.5How to use a DOI?
Keywords
automatic dispensing; iterative learning control; PLC; drop value
Abstract

Based on IPC and PLC, a distributed master-slave precision dispensing control system in master-batch production is developed. IPC is used to manage the information related to material, formula, process, and production, and to monitor the whole process of proportioning. PLC is used to control specific motions. A new iterative learning method, together with the overall control scheme, the software and hardware architecture are proposed. Practical operation proves that the system is feasible, reliable, interface-friendly, simple in operation and accurate in proportioning.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)
Series
Advances in Engineering Research
Publication Date
September 2017
ISBN
978-94-6252-393-7
ISSN
2352-5401
DOI
10.2991/amee-17.2017.5How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Peigang Li
AU  - Xianying Feng
AU  - Fuxin Du
AU  - Wenping Liu
AU  - Jian Zheng
PY  - 2017/09
DA  - 2017/09
TI  - Development of an Automatic Master batch Dispensing System with Iterative Learning Control
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)
PB  - Atlantis Press
SP  - 23
EP  - 26
SN  - 2352-5401
UR  - https://doi.org/10.2991/amee-17.2017.5
DO  - 10.2991/amee-17.2017.5
ID  - Li2017/09
ER  -