Type 1 Diabetes Control Using Type 3 Fuzzy Fault Tolerant Predictive Control

ABSTRACT This article presents the regulation of blood glucose levels using a type 3 fuzzy predictive controller in type 1 diabetic patients in the presence of sensor faults. The proposed structure includes an on‐line fuzzy identification system, a predictive controller based on the fuzzy identification system, an adaptive compensator, and a sensor fault compensator structure. The final controller is obtained from the sum of the main controller and the output control signal of the fault detection unit. In the dynamics of type 1 diabetes, glucose is unknown; so in this article it is estimated on‐line by type 3 fuzzy systems. To ensure the stability of the closed‐loop system, Lyapunov stability analysis is used to design the adaptive compensator. The proposed methodology is evaluated based on Bergman's modified model under disturbances and various parametric uncertainties for different virtual subjects.