Development of an Artificial Pancreas: Control of Glucose in Type 1 Diabetics Using Model Predictive Control with a Low Order Model
Date
2024-06-13
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Type one diabetes is an autoimmune disorder that causes people to not produce hormones that govern glucose control, which can lead to many health issues. The current treatment for this disorder is the injection of insulin either manually or with a preprogramed pump. An artificial pancreas is a device that aims to improve this treatment by connecting the pump to a glucose sensor and feedback controller to automatically adjust the injection rate. This project proposes the use of Model Predictive Control (MPC) to close this loop. MPC was implemented using a low-order linear model of the human glucose system and applied to simple human kinetic models as well as a higher-order complex plant. In both cases the controller was able to significantly reduce the maximum glucose levels along with time-integrated excursion measures. In realistic simulations modelling human physiology, maximum hyperglycemia was reduced from 174 mg/dL to 120 mg/dL when a disturbance of 100g of carbohydrates was applied.
Description
Keywords
Model Predictive Control, Artificial Pancreas, Type 1 Diabetes
Citation
Frayne, M. C. H. (2024). Development of an artificial pancreas: control of glucose in type 1 diabetics using model predictive control with a low order model (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.