A new immune-LQI controller to regulate dialysate conductivity

Dialysate conductivity regulation is the most important factor behind a successful dialysis. In this study, a new Immune-LQI controller was designed to regulate the dialysate conductivity. Linear Quadratic Integrator (LQI), Immune Control (IC), Fuzzy Logic (FL) and Genetic Algorithm (GA) were used...

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Main Authors: Jomana Mahmoud Diab, Sahar Alaly
Format: Article
Language:English
Published: Prince of Songkla University 2022-02-01
Series:Songklanakarin Journal of Science and Technology (SJST)
Subjects:
Online Access:https://rdo.psu.ac.th/sjst/journal/44-1/35.pdf
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author Jomana Mahmoud Diab
Sahar Alaly
author_facet Jomana Mahmoud Diab
Sahar Alaly
author_sort Jomana Mahmoud Diab
collection DOAJ
description Dialysate conductivity regulation is the most important factor behind a successful dialysis. In this study, a new Immune-LQI controller was designed to regulate the dialysate conductivity. Linear Quadratic Integrator (LQI), Immune Control (IC), Fuzzy Logic (FL) and Genetic Algorithm (GA) were used. The new controller combines LQI and IC methods, and the IC gains were adjusted using FL and GA. For the purpose of comparison, a number of controllers (Proportional Integral Derivative (PID), LQI, and LQI-PID) were designed. The results showed that Immune-LQI controller was the best as it gave a 10% improvement in rise time, 66% in overshoot, and 42.7% in settling time, when compared with LQI.
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spelling doaj.art-c008103061fb407f837bb55331153ca32022-12-22T00:26:07ZengPrince of Songkla UniversitySongklanakarin Journal of Science and Technology (SJST)0125-33952022-02-0144124224910.14456/sjst-psu.2022.35A new immune-LQI controller to regulate dialysate conductivityJomana Mahmoud Diab0Sahar Alaly1Faculty of Biomedical Engineering, Al Andalus University for Medical Sciences, AL-Qadmous, Tartous, 0963043 SyriaFaculty of Technical Engineering, Tartus University, Tartous, 0963043 SyriaDialysate conductivity regulation is the most important factor behind a successful dialysis. In this study, a new Immune-LQI controller was designed to regulate the dialysate conductivity. Linear Quadratic Integrator (LQI), Immune Control (IC), Fuzzy Logic (FL) and Genetic Algorithm (GA) were used. The new controller combines LQI and IC methods, and the IC gains were adjusted using FL and GA. For the purpose of comparison, a number of controllers (Proportional Integral Derivative (PID), LQI, and LQI-PID) were designed. The results showed that Immune-LQI controller was the best as it gave a 10% improvement in rise time, 66% in overshoot, and 42.7% in settling time, when compared with LQI.https://rdo.psu.ac.th/sjst/journal/44-1/35.pdflinear quadratic integrator controllerimmune controllerfuzzy logic controllerconductivity model
spellingShingle Jomana Mahmoud Diab
Sahar Alaly
A new immune-LQI controller to regulate dialysate conductivity
Songklanakarin Journal of Science and Technology (SJST)
linear quadratic integrator controller
immune controller
fuzzy logic controller
conductivity model
title A new immune-LQI controller to regulate dialysate conductivity
title_full A new immune-LQI controller to regulate dialysate conductivity
title_fullStr A new immune-LQI controller to regulate dialysate conductivity
title_full_unstemmed A new immune-LQI controller to regulate dialysate conductivity
title_short A new immune-LQI controller to regulate dialysate conductivity
title_sort new immune lqi controller to regulate dialysate conductivity
topic linear quadratic integrator controller
immune controller
fuzzy logic controller
conductivity model
url https://rdo.psu.ac.th/sjst/journal/44-1/35.pdf
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