Design of Fuzzy and Linear Active Disturbance Rejection Control for Insulin Infusion in Type 1 Diabetic Patients

Te Jen Su, Shih Ming Wang, Jason Sheng Hong Tsai, Tung Yeh Tsou, Van Kien Tran

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Despite previously proposed process control methods for sugar control in type 1 diabetes patients, precise control remains an unsolved problem. The imbalance of insulin in the human body might lead to serious consequences such as kidney failure, heart failure and even death. Using the combination of fuzzy and linear active disturbance rejection control, this study aims at maintaining blood sugar level by controlling the insulin dose injected into the human body. In MATLAB/Simulink environment, simulation is built with the mathematical model of an artificial pancreas. Besides less dependence on the information of control target, the presented method shows significantly smooth blood glucose concentration when compared to a genetic algorithm–fuzzy–proportional integral controller. In addition to being without outside effects, the proposed method exposes its abilities in cases of having difference disturbances.

Original languageEnglish
Pages (from-to)1966-1977
Number of pages12
JournalInternational Journal of Fuzzy Systems
Volume19
Issue number6
DOIs
Publication statusPublished - 2017 Dec 1

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Artificial Intelligence

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