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Concentration Control of CSTR using NNAPC

by Hossein Ebadi Kalhoodashti
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 26 - Number 6
Year of Publication: 2011
Authors: Hossein Ebadi Kalhoodashti
10.5120/3106-4265

Hossein Ebadi Kalhoodashti . Concentration Control of CSTR using NNAPC. International Journal of Computer Applications. 26, 6 ( July 2011), 34-38. DOI=10.5120/3106-4265

@article{ 10.5120/3106-4265,
author = { Hossein Ebadi Kalhoodashti },
title = { Concentration Control of CSTR using NNAPC },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 26 },
number = { 6 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 34-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume26/number6/3106-4265/ },
doi = { 10.5120/3106-4265 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:12:06.592454+05:30
%A Hossein Ebadi Kalhoodashti
%T Concentration Control of CSTR using NNAPC
%J International Journal of Computer Applications
%@ 0975-8887
%V 26
%N 6
%P 34-38
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a new advanced control algorithm for Concentration tracking of a continuous stirring tank reactor (CSTR). This algorithm called: Neural Network Approximate Generalized Predictive Control (NNAPC) that uses a combination of Artificial Neural Network (ANN) with Approximate Generalized Predictive Control technique (APC). This algorithm is based on the use of ANN as a nonlinear prediction model of the CSTR. This modeling technique is done by using the data from the system input/output information without requiring the knowledge about CSTR parameters. The outputs of the neural predictor are the future values of the controlled variables needed by the optimization algorithm. Simulation results show the effectiveness of the proposed control method.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Continuous Stirring Tank Reactor (CSTR) Approximate Generalized Predictive Control (APC) Artificial Neural Network (ANN)

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