Design and simulation of a normalized fuzzy logic controller for the quadruple-tank process
Industrial processes include multivariable systems and nonlinearities. These conditions must be effectively controlled to ensure a stable operation. A proportional-integral-derivative controller and other classical control techniques provide simple design tools to designers, but cannot accommodate n...
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2020-04-01.
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| LEADER | 03009 am a22002893u 4500 | ||
|---|---|---|---|
| 001 | ijeecs20449_13602 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Abdul-Adheem, Wameedh Riyadh |e author |
| 100 | 1 | 0 | |e contributor |
| 245 | 0 | 0 | |a Design and simulation of a normalized fuzzy logic controller for the quadruple-tank process |
| 260 | |b Institute of Advanced Engineering and Science, |c 2020-04-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20449 | ||
| 520 | |a Industrial processes include multivariable systems and nonlinearities. These conditions must be effectively controlled to ensure a stable operation. A proportional-integral-derivative controller and other classical control techniques provide simple design tools to designers, but cannot accommodate nonlinearities in industrial processes. In this study, the quadruple-tank process, which is one of the most widely used processes in the chemical industry, was selected as the research object. To examine this process, a fuzzy logic controller, instead of an exact mathematical model, was proposed to ensure the reliability of the experience. A modification was proposed to facilitate the design process. To check the validity of the proposed controller, it was compared with the conventional proportional-integral controller. The former exhibited acceptable performance. Industrial processes include multivariable systems and nonlinearities. These conditions must be effectively controlled to ensure a stable operation. A proportional-integral-derivative controller and other classical control techniques provide simple design tools to designers, but cannot accommodate nonlinearities in industrial processes. In this study, the quadruple-tank process, which is one of the most widely used processes in the chemical industry, was selected as the research object. To examine this process, a fuzzy logic controller, instead of an exact mathematical model,was proposed to ensure the reliability of the experience. A modification was proposed to facilitate the design process. To check the validity of the proposed controller, it was compared with the conventional proportional-integral controller. The former exhibited acceptable performance. | ||
| 540 | |a Copyright (c) 2020 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |||
| 690 | |a Quadruple Tank; Multivariable system; PI controller; Industrial process; Fuzzy control | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 18, No 1: April 2020; 227-234 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v18.i1 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20449/13602 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20449/13602 |z Get fulltext |