Abstract

While a typical way for diabetes therapy is discrete insulin infusion based on long-time interval measurement, in this paper, we design a closed-loop control system for continuous drug infusion to improve the traditional discrete methods and make diabetes therapy automatic in practice. By exploring the accumulative function of drug to insulin, a continuous injection model is proposed. Based on this model, proportional-integral-derivative (PID) and fuzzy logic controllers are designed to tackle a control problem of the resulting highly nonlinear plant. Even with serious disturbance of glucose, such as nutrition absorption at meal time, the proposed scheme can perform well in simulation experiments.

Highlights

  • Diabetes mellitus is a metabolic disorder in which insulin, a kind of hormone which promotes the uptake of glucose into cells, cannot properly perform its role

  • We present reviewed results of discrete control to blood glucose concentration of type I diabetes

  • As the meal disturbance is much higher than normal glucose concentration level, it demands a controller with good performance of disturbance rejection

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Summary

INTRODUCTION

Diabetes mellitus is a metabolic disorder in which insulin, a kind of hormone which promotes the uptake of glucose into cells, cannot properly perform its role. The continuous control would be a great improvement in the daily treatment of diabetes, especially, in some cases that medical persons are not presented or the patients have less knowledge about the disease. The authors in [15] considered a considerable amount of uncertainty of the parameters in a mathematical model of blood glucose dynamics and proposed an H∞ controller for robust closed-loop regulation.

A CONTINUOUS CLOSED-LOOP MODEL
A continuous model of drug to insulin
Model of insulin to glucose
CONTROLLER DESIGN AND SIMULATION EXPERIMENTS
PID controller design for continuous closed-loop control system
Fuzzy logic controller
The effect of unexpected disturbance
Findings
CONCLUSIONS

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