International Journal of Computational Intelligence Systems

Volume 7, Issue 1, February 2014, Pages 37 - 49

Advanced control software framework for process control applications

Authors
Shazzat Hossain, M.A. Hussain, Rosli Bin Omar
Corresponding Author
Shazzat Hossain
Received 2 October 2011, Accepted 26 May 2013, Available Online 3 February 2014.
DOI
10.1080/18756891.2013.864473How to use a DOI?
Keywords
Process control, software tool, Neural Network, Direct Inverse Control, pH Neutralization Process
Abstract

Industries are now moving towards PC-based control from PLC (Programmable Logic Control) based control as the PC (personal computer) is easily available and capable of implementing various control strategies to improve productivity. Advances in both hardware and software technology are expediting this move. Absence of a user friendly, cost effective and easy to apply advanced control strategy based software is the motivation for this work. In this paper we reviewed issues of software application in process control systems. We present the development of an advance process control software tool and its application on a pH neutralization plant. Neural network model based DIC (Direct Inverse Control) strategy is implemented to control the process. The application and results shows the viability and robustness of the advanced control software and its superiority over the conventional PID (proportional–integral–derivative) controller.

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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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
7 - 1
Pages
37 - 49
Publication Date
2014/02/03
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2013.864473How 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  - JOUR
AU  - Shazzat Hossain
AU  - M.A. Hussain
AU  - Rosli Bin Omar
PY  - 2014
DA  - 2014/02/03
TI  - Advanced control software framework for process control applications
JO  - International Journal of Computational Intelligence Systems
SP  - 37
EP  - 49
VL  - 7
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.864473
DO  - 10.1080/18756891.2013.864473
ID  - Hossain2014
ER  -