Adaptive Fuzzy Control of Blood Glucose Level in Patients with Type 1 Diabetes in Presence of Input Saturation

In this research, an adaptive fuzzy controller is presented to regulate the blood glucose level of type 1 diabetic patients in the presence of input saturation. This controller along with an adaptive anti-windup compensator is considered to deal with the uncertainty of the Bergmann minimal nonlinear...

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Main Authors: Fatemeh Soleimannouri, Saeed Khorashadizadeh, Mohsen Farshad, Naser Mehrshad
Format: Article
Language:English
Published: University of Sistan and Baluchestan 2025-06-01
Series:International Journal of Industrial Electronics, Control and Optimization
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Online Access:https://ieco.usb.ac.ir/article_8619_878983dc8781333e06aa76529ae516e4.pdf
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author Fatemeh Soleimannouri
Saeed Khorashadizadeh
Mohsen Farshad
Naser Mehrshad
author_facet Fatemeh Soleimannouri
Saeed Khorashadizadeh
Mohsen Farshad
Naser Mehrshad
author_sort Fatemeh Soleimannouri
collection DOAJ
description In this research, an adaptive fuzzy controller is presented to regulate the blood glucose level of type 1 diabetic patients in the presence of input saturation. This controller along with an adaptive anti-windup compensator is considered to deal with the uncertainty of the Bergmann minimal nonlinear model parameters as well as the input saturation. Anti windup compensator is designed to prevent to saturation problems as hyperglycemia or hypoglycemia in regulating the blood glucose level of type 1 diabetes patients. The Bergman minimal model is used to mathematically model type 1 diabetes, depicting the dynamic behavior of the human body's blood glucose-insulin system. In the first step, the stability of the closed-loop system has been theoretically investigated and proved from the point of view of Lyapunov's theory. Next, to evaluate the effectiveness of the proposed method in regulating blood glucose levels, the proposed control system has been implemented in the presence of meal disturbances using the Simulink environment of MATLAB software. The implementation results show a lower control effort and less convergence time of the proposed method compared to the existing methods.
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institution Kabale University
issn 2645-3517
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language English
publishDate 2025-06-01
publisher University of Sistan and Baluchestan
record_format Article
series International Journal of Industrial Electronics, Control and Optimization
spelling doaj-art-21d3fa7d8e4749839c7cafe2a32e4f522025-08-20T03:52:38ZengUniversity of Sistan and BaluchestanInternational Journal of Industrial Electronics, Control and Optimization2645-35172645-35682025-06-018211712710.22111/ieco.2024.49122.15858619Adaptive Fuzzy Control of Blood Glucose Level in Patients with Type 1 Diabetes in Presence of Input SaturationFatemeh Soleimannouri0Saeed Khorashadizadeh1Mohsen Farshad2Naser Mehrshad3Faculty of Electrical and Computer Engineering, University of Birjand, Birjand, IranFaculty of Electrical and Computer Engineering, University of Birjand, Birjand, IranFaculty of Electrical and Computer Engineering, University of Birjand, Birjand, IranFaculty of Electrical and Computer Engineering, University of Birjand, Birjand, IranIn this research, an adaptive fuzzy controller is presented to regulate the blood glucose level of type 1 diabetic patients in the presence of input saturation. This controller along with an adaptive anti-windup compensator is considered to deal with the uncertainty of the Bergmann minimal nonlinear model parameters as well as the input saturation. Anti windup compensator is designed to prevent to saturation problems as hyperglycemia or hypoglycemia in regulating the blood glucose level of type 1 diabetes patients. The Bergman minimal model is used to mathematically model type 1 diabetes, depicting the dynamic behavior of the human body's blood glucose-insulin system. In the first step, the stability of the closed-loop system has been theoretically investigated and proved from the point of view of Lyapunov's theory. Next, to evaluate the effectiveness of the proposed method in regulating blood glucose levels, the proposed control system has been implemented in the presence of meal disturbances using the Simulink environment of MATLAB software. The implementation results show a lower control effort and less convergence time of the proposed method compared to the existing methods.https://ieco.usb.ac.ir/article_8619_878983dc8781333e06aa76529ae516e4.pdfadaptive fuzzy controlblood glucose leveltype 1 diabetesactuator saturation
spellingShingle Fatemeh Soleimannouri
Saeed Khorashadizadeh
Mohsen Farshad
Naser Mehrshad
Adaptive Fuzzy Control of Blood Glucose Level in Patients with Type 1 Diabetes in Presence of Input Saturation
International Journal of Industrial Electronics, Control and Optimization
adaptive fuzzy control
blood glucose level
type 1 diabetes
actuator saturation
title Adaptive Fuzzy Control of Blood Glucose Level in Patients with Type 1 Diabetes in Presence of Input Saturation
title_full Adaptive Fuzzy Control of Blood Glucose Level in Patients with Type 1 Diabetes in Presence of Input Saturation
title_fullStr Adaptive Fuzzy Control of Blood Glucose Level in Patients with Type 1 Diabetes in Presence of Input Saturation
title_full_unstemmed Adaptive Fuzzy Control of Blood Glucose Level in Patients with Type 1 Diabetes in Presence of Input Saturation
title_short Adaptive Fuzzy Control of Blood Glucose Level in Patients with Type 1 Diabetes in Presence of Input Saturation
title_sort adaptive fuzzy control of blood glucose level in patients with type 1 diabetes in presence of input saturation
topic adaptive fuzzy control
blood glucose level
type 1 diabetes
actuator saturation
url https://ieco.usb.ac.ir/article_8619_878983dc8781333e06aa76529ae516e4.pdf
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AT mohsenfarshad adaptivefuzzycontrolofbloodglucoselevelinpatientswithtype1diabetesinpresenceofinputsaturation
AT nasermehrshad adaptivefuzzycontrolofbloodglucoselevelinpatientswithtype1diabetesinpresenceofinputsaturation