Design of Artificial Pancreas Based on Fuzzy Logic Control in Type-I Diabetes Patient

This manuscript presents a SIMULINK model of Glucose Metabolism (GM) process and design of a Fuzzy Logic Controller (FLC) to regulate the Blood Glucose (BG) concentration in Type-I Diabetes Mellitus (TIDM) patients. The FLC is a novel approach whose gains dynamically vary with respect to the error and change in error signal. The validation of improved control action of FLC is established by comparative result investigation with other published control algorithms. The comparative results clearly reveal the better performance of the proposed approach to control the BG concentration (level) within the normoglycaemic range in terms of accuracy, stability, and robustness.