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

by Farhad Aslam, Gagandeep Kaur
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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
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  2. Yung C. Shin, Chengying Xu “Intelligent Systems: Modeling, Optimization, and Control” CRC Press 2009.
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  8. Xiao-Feng Li, Jian Sun, Hui-Yan Wu, Wei-Dong Zong, “Application of the fuzzy PID to the Power Plant”, IEEE 2007.
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  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

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