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

Cifha Crecil Dias, Surekha Kamath, Sudha Vidyasagar

Research output: Contribution to journalArticle

Abstract

This study elaborates on the design of artificial pancreas using model predictive control algorithm for a comprehensive physiological model such as the Sorensen model, which regulates the blood glucose and can have a longer control time in normal glycaemic region. The main objective of the proposed algorithm is to eliminate the risk of hyper and hypoglycaemia and have a precise infusion of hormones: insulin and glucagon. A single model predictive controller is developed to control the bihormones, insulin, and glucagon for such a development unmeasured disturbance is considered for a random time. The simulation result for the proposed algorithm performed good regulation lowering the hypoglycaemia risk and maintaining the glucose level within the normal glycaemic range. To validate the performance of the tracking of output and setpoint, average tracking error is used and 4.4 mg/dl results are obtained while compared with standard value (14.3 mg/dl).

Original languageEnglish
Pages (from-to)133-146
Number of pages14
JournalIET Systems Biology
Volume14
Issue number3
DOIs
Publication statusPublished - 01-06-2020

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Modelling and Simulation
  • Molecular Biology
  • Genetics
  • Cell Biology

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