We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
Reseach Article

Control of Reactive Distillation Process using Intelligent Controllers

by Asha Rani, Vijander Singh, J.R.P. Gupta
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
  1. William L. Luyben, 1996. “Process Modelling, Simulation and Control for Chemical Engineers” McGraw-Hill Publishing Company, International Edition 1996
  2. S.R. Vijaya Raghavan, T.R. Radhakrishnan, K. Srinivasan,2011. Soft Sensor Based Composition Estimation and Controller Design for an Ideal Reactive Distillation Column, ISA transactions, vol.50, pp.61-70.
  3. K. J. Jithin Prakash, Dipesh S. Patle, and Amiya K. Jana, 2011. Neuro-Estimator based GMC Control of a Batch Reactive Distillation, ISA transactions, vol.50, pp.357-363.
  4. Fatima Barcelo Rico, Jose M. Gozalvez-Zefrilla, Jose Luis Diez, and Asuncion Santafe-Moros, 2011. Modeling and Control of a Continuous Distillation Tower through Fuzzy Techniques, Chemical Engineering Research and Design, vol.89, pp.107-115.
  5. Almila Bahar, and Canan Ozgen, 2010. State Estimation and Inferential Control for a Reactive Batch Distillation Column, Engineering Applications of Artificial Intelligence, vol.23, pp.260-270.
  6. J. Fernandez de Canete, S. Gonzalez, P.del Saz-Orozco, and I. Garcia, 2010. A harmonic Balance Approach to Robust Neural Control of MIMO Nonlinear Processes Applied to a Distillation Column, Journal of Process Control, vol.20, pp.1270-1277.
  7. Jeen Lin, and Ruey-Jing Lian, 2009. Hybrid Fuzzy-logic and Neural Network Controller for MIMO Systems, Mechatronics, vol.19, pp.972-986.
  8. Swati Mohanty, 2009. Artificial Neural Network Based System Identification and Model Predictive control of a Floatation Column, Journal of Process Control, vol.19, pp. 991-999.
  9. Vijander Singh, Indra Gupta and H.O Gupta, 2005. ANN based Estimator for Distillation-Inferential Control, Chemical Engineering and Processing, vol.44, Issue 7, pp. 785-795,(July 2005).
  10. Vijander Singh, Indra Gupta and H.O Gupta, 2007. ANN based Estimator for Distillation using Levenberg-Marquardt Approach, special issue on “Applications of Artificial Intelligence in Process Systems Engineering”, Engineering Applications of Artificial Intelligence, Elsevier Science, vol.20, pp.249-259, (2007).
  11. Harun Taskin, Cemalettin Kubat, Ozer Uygun, and Seher Arslankaya, 2006. FUZZYFCC: Fuzzy Logic Control of a Fluid Catalytic Cracking Unit (FCCU) to Improve Dynamic Performance, Computers and Chemical Engineering, vol.30, pp.850-863.
  12. S. Gruner, K.-D. Mohl, A. Kienle, E. D. Gilles, G. Fernholz, and M. Friedrich, 2003. Nonlinear Control of a Reactive Distillation Column, Control Engineering Practice, vol.11, pp.915-925.
  13. M. A. Al-Arfaj and W. L. Luyben, 2000. "Comparison of alternative control structures for an ideal two-product reactive distillation column," Ind. Eng. Chem. Res., vol. 39, pp.3298-3307.
  14. Timothy J. Ross 2005. “Fuzzy logic with engineering Application” University of New Mexico, USA, copyright 2005 by John Wiley & Sons, Inc.
  15. S.N. Sivanandam, S. Sumathi, and S.N. Deepa, 2006. Introduction to Neural Networks using MATLAB 6.0, TATA McGraw-Hill Publishing Company Limited, New Delhi, Edition 2006.
Index Terms

Computer Science
Information Sciences

Keywords

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