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Control of Reactive Distillation Process using Intelligent Controllers

by Asha Rani, Vijander Singh, J.R.P. Gupta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 29 - Number 5
Year of Publication: 2011
Authors: Asha Rani, Vijander Singh, J.R.P. Gupta
10.5120/3561-4900

Asha Rani, Vijander Singh, J.R.P. Gupta . Control of Reactive Distillation Process using Intelligent Controllers. International Journal of Computer Applications. 29, 5 ( September 2011), 19-26. DOI=10.5120/3561-4900

@article{ 10.5120/3561-4900,
author = { Asha Rani, Vijander Singh, J.R.P. Gupta },
title = { Control of Reactive Distillation Process using Intelligent Controllers },
journal = { International Journal of Computer Applications },
issue_date = { September 2011 },
volume = { 29 },
number = { 5 },
month = { September },
year = { 2011 },
issn = { 0975-8887 },
pages = { 19-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume29/number5/3561-4900/ },
doi = { 10.5120/3561-4900 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:14:59.491294+05:30
%A Asha Rani
%A Vijander Singh
%A J.R.P. Gupta
%T Control of Reactive Distillation Process using Intelligent Controllers
%J International Journal of Computer Applications
%@ 0975-8887
%V 29
%N 5
%P 19-26
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The objective of the present work is precise control of distillate quality using the temperature profile of reactive distillation process. The temperature profile of the reactive process may be controlled using intelligent controller. The paper presents the methodology for the design of various intelligent controllers and its application on distillation process. Four intelligent controllers are designed based on fuzzy logic, adaptive linear network (Adaline) and hybrid of these two techniques i.e. Fuzzy-Neural Network and Fuzzy-Adaline Network. The Fuzzy Logic Controller (FLC) provides a better steady state response whereas the adaptive linear network controller (ADC) provides better transient response. The hybrid Fuzzy-Neural Network Controller (FNNC) and Fuzzy-Adaline Controller (HFADC) are proposed to combine the advantages of the two techniques. The results of the designed intelligent controllers are compared with the conventional PI controller. It is observed that the Hybrid Fuzzy-Adaline Controller (HFADC) outperforms all the controllers.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Logic Controller Adaline Controller FNN Controller Hybrid Fuzzy- Adaline Controller

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