Open AccessVariable structure robust controller design for blood glucose regulation for type 1 diabetic patients: A backstepping approach
Author(s) -
Homayounzade Mohamadreza
Publication year - 2021
Publication title -
iet systems biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.367
H-Index - 50
eISSN - 1751-8857
pISSN - 1751-8849
DOI - 10.1049/syb2.12032
Subject(s) - backstepping , control theory (sociology) , controller (irrigation) , insulin , lyapunov stability , matlab , parametric statistics , exponential stability , artificial pancreas , lyapunov function , computer science , convergence (economics) , diabetes mellitus , mathematics , adaptive control , endocrinology , medicine , type 1 diabetes , nonlinear system , biology , control (management) , artificial intelligence , physics , statistics , quantum mechanics , economic growth , agronomy , economics , operating system
Diabetes mellitus type 1 occurs when β ‐ cells in the pancreas are destroyed by the immune system. As a result, the pancreas cannot produce adequate insulin, and the glucose enters the cells to produce energy. To elevate the glycaemic concentration, sufficient amount of insulin should be taken orally or injected into the human body. Artificial pancreas is a device that automatically regulates the level of body insulin by injecting the requisite amount of insulin into the human body. A finite‐time robust feedback controller based on the Extended Bergman Minimal Model is designed here. The controller is designed utilizing the backstepping approach and is robust against the unknown external disturbance and parametric uncertainties. The stability of the system is proved using the Lyapunov theorem. The controller is exponentially stable and hence provides the finite‐time convergence of the blood glucose concentration to its desired magnitude. The effectiveness of the proposed control method is shown through simulation in MATLAB/Simulink environment via comparisons with previous studies.