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Neural Network - based Control Strategies Applied to a Chemical Reactor Process

Published on May 2012 by Swapnaja Chidrawar, Sadhana Chidrawar
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National Conference on Recent Trends in Computing
Foundation of Computer Science USA
NCRTC - Number 7
May 2012
Authors: Swapnaja Chidrawar, Sadhana Chidrawar
5c1f2fee-adb4-4808-bf63-b8e37fc07e0d

Swapnaja Chidrawar, Sadhana Chidrawar . Neural Network - based Control Strategies Applied to a Chemical Reactor Process. National Conference on Recent Trends in Computing. NCRTC, 7 (May 2012), 32-34.

@article{
author = { Swapnaja Chidrawar, Sadhana Chidrawar },
title = { Neural Network - based Control Strategies Applied to a Chemical Reactor Process },
journal = { National Conference on Recent Trends in Computing },
issue_date = { May 2012 },
volume = { NCRTC },
number = { 7 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 32-34 },
numpages = 3,
url = { /proceedings/ncrtc/number7/6567-1057/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computing
%A Swapnaja Chidrawar
%A Sadhana Chidrawar
%T Neural Network - based Control Strategies Applied to a Chemical Reactor Process
%J National Conference on Recent Trends in Computing
%@ 0975-8887
%V NCRTC
%N 7
%P 32-34
%D 2012
%I International Journal of Computer Applications
Abstract

This paper is focused on issues of process modeling and model based control strategy of chemical reactor process applying the concept of artificial neural networks (ANNs). The control objective is to force the operation into optimal supersaturating trajectory. It is achieved by; manipulating coolant flow rate, the influent concentration of compound is control. Model predictive control (MPC) alternative is considered. Adequate ANN process models are first built as part of the controller structures. MPC algorithm outperforms satisfactory reference tracking and smooth control action while for the IMC an analytical control solution was determined.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Neural Network Nonlinear Model Control Process Identification Chemical Reactor Process