A gain-scheduling model predictive controller for blood glucose control in type 1 diabetes.
This paper presents a control strategy for blood glucose (BG) level regulation in type 1 diabetic patients. To design the controller, model-based predictive control scheme has been applied to a newly developed diabetic patient model. The controller is provided with a feedforward loop to improve meal compensation, a gain-scheduling scheme to account for different BG levels, and an asymmetric cost function to reduce hypoglycemic risk. A simulation environment that has been approved for testing of artificial pancreas control algorithms has been used to test the controller. The simulation results show a good controller performance in fasting conditions and meal disturbance rejection, and robustness against model-patient mismatch and errors in meal estimation.
Abu-Rmileh
Amjad
A
Department of Electrical, Electronics, and Control Engineering, University of Girona, 17071 Girona, Spain. amjadhisham.ahmad@udg.edu
Garcia-Gabin
Winston
W
D000328:Adult; D000465:Algorithms; D001786:Blood Glucose / Q000032:analysis*; D015190:Blood Glucose Self-Monitoring / Q000379:methods*; D003922:Diabetes Mellitus, Type 1 / Q000097:blood*; D006801:Humans; D007332:Insulin Infusion Systems; D008954:Models, Biological
D001786:Blood Glucose