Closed-loop control of blood glucose level in type-1 diabetics: A simulation study

Soylu, Selim; Danışman, Kenan; Saçu, İbrahim Ethem; Alçı, Mustafa

doi:10.1109/eleco.2013.6713864

Cited by 15 publications

(13 citation statements)

References 15 publications

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“…FL is insensitive to the variability of system parameters and can overcome inter-and intrapatient variability [12]. In [13][14][15][16], fuzzy logic controllers (FLCs) showed relatively successful results in keeping the BGC of the patients with T1DM in a normoglycemic range. However, they have certain disadvantages [17,18]:…”

Section: Introductionmentioning

confidence: 99%

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Blood glucose control using an ABC algorithm-based fuzzy-PID controller

Soylu¹,

Danışman²

2018

Turk J Elec Eng & Comp Sci

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In this paper, a Mamdani-type fuzzy controller is proposed as the controller part of an artificial pancreas. The controller is optimized with the artificial bee colony optimization algorithm. The glucose-insulin regulatory system, based on a nonlinear differential model in the presence of delay, is used both for virtual patient and healthy person data. The main target of the controller is to mimic a blood glucose concentration profile of the healthy person with exogenous insulin infusion. Simulations are performed to assess the control function in terms of tracking the blood glucose concentration profile of the healthy person and minimizing errors. To show robustness, a group of three tests are implemented. These tests include unusual glucose intake, sensor noise, and uncertainty in the clearance rate parameter. The simulation results demonstrate that the adopted method is more effective than similar studies in the literature.

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Section: Introductionmentioning

confidence: 99%

“…• In [13][14][15], the fuzzy rules and fuzzy membership functions (MFs) of the controllers are based on expert knowledge. Thus, it is quite difficult to get optimal control via tuning the MFs with a trial and error method.…”

Section: Introductionmentioning

confidence: 99%

Blood glucose control using an ABC algorithm-based fuzzy-PID controller

Soylu¹,

Danışman²

2018

Turk J Elec Eng & Comp Sci

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“…Parameters and coefficients of the model are taken from [7,11,14]. It should be emphasized that the coefficients and parameters are related to physiology.…”

Section: The Modified Stolwijk-hardy Modelmentioning

confidence: 99%

“…GA-PID, PSO-PID, and ABC-PID controllers are implemented on the virtual diabetic patient described by the modified Stolwijk-Hardy glucose-insulin regulation model. In contrast to [11], single exogenous glucose intake is not used. To assess the performance of the control algorithms against daily food intake, three meals (breakfast, lunch and dinner) are added to the model as disturbances.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, there are many studies based on the combination of different control algorithms. In [11], performances of the FLC and the Fuzzy-PID controller are compared versus single glucose infusion based on the modified Stolwijk-Hardy glucoseinsulin regulation model. In [12], the authors proposed a FLC that is optimized by particle swarm optimization (PSO) algorithm to follow the glucose profiles of a healthy person with minimum infused insulin.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of PID based Control Algorithms for Daily Blood Glucose Control

Soylu¹,

Danışman²

2016

World Congress on Electrical Engineering and Computer Systems and Science

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-Type 1 Diabetes Mellitus (T1DM) is a worldwide disease. Although a complete cure has not been found yet, an artificial pancreas (AP), also known as a closed-loop insulin therapy, is becoming more important for the treatment of this disease. Controller part of the AP can compute insulin infusion rate that will keep blood glucose concentration (BGC) in normoglycemic ranges for patients with T1DM. In this paper, three different control algorithms are proposed as a controller part of the AP. These control algorithms include genetic algorithm based proportional-integral-derivative (GA-PID) control, artificial bee colony algorithm based PID (ABC-PID) control, and particle swarm optimization algorithm based PID (PSO-PID) control. In silico control studies are implemented through a virtual diabetic patient based on the Stolwijk-Hardy's glucose-insulin regulation model. Simulations are performed to assess control function in terms of tracking BGC profile of a healthy person against to a daily food intake of three meals. In order to demonstrate robustness, sensor noise test is implemented. Simulation results are promising in terms of regulating the daily BGC.

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An adaptive technique based blood glucose control in type‐1 diabetes mellitus patients

Belmon¹,

Auxillia

2020

Numer Methods Biomed Eng

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This study proposes Grasshopper Optimization Algorithm (GOA) based type 1 diabetes mellitus system utilizing the nonlinear Bergman minimal model with proportional integral derivative (PID) controller. GOA is the optimization algorithm, which is utilized for selecting the optimized tuning parameters of the PID controller also solves the nonlinear system parameter identification problem. The novelty of the proposed study is to stabilize the glucose level in blood for type 1 diabetic patients by infusion of insulin in reduced time with optimal quantity. Without any intervention to the normal activities of patients, the supply of insulin injection and glucose monitoring is performed automatically for type 1 diabetic patients using this controller. In between the measured variable and set point, the difference is calculated by the PID controller to evaluate an error values. In realistic patient oriented conditions, the control performance evaluation, control optimization, and advanced patient modelling should be highly concentrated during the research/analysis on blood glucose control. Evaluation is performed to analyze control performances and implementation is done on Simulink/MATLAB environment. The performance analysis of the type 1 diabetes mellitus system with GOA technique is also discussed and to improve the control performance, to optimize the controller parameters. The simulation results have proved the substantial improvement in the performance of proposed algorithm with the better results achieved than the other conventional controllers such as PSO‐PID and EHO‐PID.

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Closed-loop control of blood glucose level in type-1 diabetics: A simulation study

Cited by 15 publications

References 15 publications

Blood glucose control using an ABC algorithm-based fuzzy-PID controller

Blood glucose control using an ABC algorithm-based fuzzy-PID controller

Comparison of PID based Control Algorithms for Daily Blood Glucose Control

An adaptive technique based blood glucose control in type‐1 diabetes mellitus patients

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