Blood glucose regulation and control of insulin and glucagon infusion using single model predictive control for type 1 diabetes mellitus

Dias, Cifha Crecil; Kamath, Surekha; Vidyasagar, Sudha

doi:10.1049/iet-syb.2019.0101

Cited by 8 publications

(3 citation statements)

References 58 publications

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“…In [20] the authors were designed an artificial pancereas which controlled based on model predictive control technique. The simulation results show a significant regulation accuracy compared with the existing results.…”

Section: Figure 1 Insulin Pump Control Diagrammentioning

confidence: 99%

Diabetics blood glucose control based on GA-FOPID technique

Jasim

Mashhadany

2021

Bulletin EEI

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In this paper, an optimized Fractional Order Proportional, Integral, Derivative based Genetic Algorithm GA-FOPID optimization technique is proposed for glucose level normalization of diabetic patients. The insulin pump with diabetic patient system used in the simulation is the Bergman minimal model, which is used to simulate the overall system. The main purpose is to obtain the optimal controller parameters that regulate the system smoothly to the desired level using GA optimization to find the FOPID parameters. The next step is to obtain the FOPID controller parameters and the traditional PID controller parameters normally. Then, the simulation output results of using the proposed GA-FOPID controller was compared with that of using the normal FOPID and the traditional PID controllers. The comparison shows that all the three controllers can regulate the glucose level but the use of GA-FOPID controller was outperform the use of the other two controllers in terms of speed of normalization and the overshoot value.

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Section: Figure 1 Insulin Pump Control Diagrammentioning

confidence: 99%

Diabetics blood glucose control based on GA-FOPID technique

Jasim

Mashhadany

2021

Bulletin EEI

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“…MPC is a promising strategy used in AP, it assists in maintaining the glucose level within the normal glycaemias range and achieving good regulation in lowering the hypoglycemia risk in a human body [142]. MPC is one of the most efficient control strategies developed in recent years for control design.…”

Section: Model Predictive Control (Mpc) Strategy Used In T1dm Therapymentioning

confidence: 99%

“…This control model predicts the future system outputs/states, considering the current values as well as past, and on the proposed control action of the future [143][144][145]. It has many exceptional features, which makes it more competitive for BG regulation compared to other methods [142]. The five unique features of the MPC are summarized below:…”

Section: Model Predictive Control (Mpc) Strategy Used In T1dm Therapymentioning

confidence: 99%

Artificial Pancreas Control Strategies Used for Type 1 Diabetes Control and Treatment: A Comprehensive Analysis

Mehmood

Ahmad

Arif

et al. 2020

ASI

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This paper presents a comprehensive survey about the fundamental components of the artificial pancreas (AP) system including insulin administration and delivery, glucose measurement (GM), and control strategies/algorithms used for type 1 diabetes mellitus (T1DM) treatment and control. Our main focus is on the T1DM that emerges due to pancreas’s failure to produce sufficient insulin due to the loss of beta cells (β-cells). We discuss various insulin administration and delivery methods including physiological methods, open-loop, and closed-loop schemes. Furthermore, we report several factors such as hyperglycemia, hypoglycemia, and many other physical factors that need to be considered while infusing insulin in human body via AP systems. We discuss three prominent control algorithms including proportional-integral- derivative (PID), fuzzy logic, and model predictive, which have been clinically evaluated and have all shown promising results. In addition, linear and non-linear insulin infusion control schemes have been formally discussed. To the best of our knowledge, this is the first work which systematically covers recent developments in the AP components with a solid foundation for future studies in the T1DM field.

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