CFP last date
20 March 2024
Reseach Article

Comparative Analysis of Conventional, P, PI, PID and Fuzzy Logic Controllers for the Efficient Control of Concentration in CSTR

by Farhad Aslam, Gagandeep Kaur
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 17 - Number 6
Year of Publication: 2011
Authors: Farhad Aslam, Gagandeep Kaur
10.5120/2226-2836

Farhad Aslam, Gagandeep Kaur . Comparative Analysis of Conventional, P, PI, PID and Fuzzy Logic Controllers for the Efficient Control of Concentration in CSTR. International Journal of Computer Applications. 17, 6 ( March 2011), 12-16. DOI=10.5120/2226-2836

@article{ 10.5120/2226-2836,
author = { Farhad Aslam, Gagandeep Kaur },
title = { Comparative Analysis of Conventional, P, PI, PID and Fuzzy Logic Controllers for the Efficient Control of Concentration in CSTR },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 17 },
number = { 6 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 12-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume17/number6/2226-2836/ },
doi = { 10.5120/2226-2836 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:05:06.789042+05:30
%A Farhad Aslam
%A Gagandeep Kaur
%T Comparative Analysis of Conventional, P, PI, PID and Fuzzy Logic Controllers for the Efficient Control of Concentration in CSTR
%J International Journal of Computer Applications
%@ 0975-8887
%V 17
%N 6
%P 12-16
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

All the industrial process applications require solutions of a specific chemical strength of the chemicals or fluids considered for analysis. Such specific concentrations are achieved by mixing a full strength solution with water in the desired proportions. In this paper the control the concentration of one chemical with the help of other has been analyzed. This paper features the influence of different controllers like P, PI, PID and Fuzzy logic controller upon the process model. Model design and simulation are done in MATLAB SIMULINK, using fuzzy logic toolbox. The concentration control is found better controlled with the addition of fuzzy logic controller instead of PID controller solely. The improvement of the process has been observed

References
  1. Schmidt, Lanny D. (1998). The Engineering of Chemical Reactions. New York: Oxford University Press. ISBN 0-19-510588-5
  2. Yung C. Shin, Chengying Xu “Intelligent Systems: Modeling, Optimization, and Control” CRC Press 2009.
  3. Fried land B., “Advanced Control System Design”, Prentice Hall, New Jersey, 1996.
  4. Jaya, N. , Sivakumar, D. and Anandanatarajan, R. (2007)— Implementation of fuzzy gain scheduling of PID controllers for a two capacity interacting nonlinear process, paper presented at TIMA, January
  5. K.J. Astrom, & T. Hagglund, “The future of PID control Control Engineering Practice”, pp.1163 -1175. 2001.
  6. Rajani K. Mudi, Chanchal Dey, & Tsu – Tian Lee, “An improved auto – tuning scheme for PI controllers”, Journal of science Direct ISA Transactions, 47: 45 – 52, 2008.
  7. Luis E. Zarate, Peterson Resende, & M. Benjamin,” A Fuzzy Logic and Variable Structure Base Controller for CSTR Control”. Annual conference of IEEE, 2001.
  8. Xiao-Feng Li, Jian Sun, Hui-Yan Wu, Wei-Dong Zong, “Application of the fuzzy PID to the Power Plant”, IEEE 2007.
  9. Yun Li,Kiam Heong Ang and Gregory C.Y.Chong, “PID Control System Analysis and Design – Problems, Remedies, and Future Directions”. IEEE control system magazine, February 2006 pp. 32-41,2006
  10. Dimiter Driankov, Hans Hellendoorn, Michael Reinfrank, Fuzzy control
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Logic (FL) PID Control Chemical Concentration Mamdani Fuzzy model CSTR