Adaptive fuzzy control of blood glucose level in patients with type 1 diabetes in presence of input saturation

Abstract

In this research, an adaptive fuzzy controller is presented to regulate the blood glucose level of type 1 diabetic patients in the presence of input saturation. This controller along with an adaptive anti-windup compensator is considered to deal with the uncertainty of the Bergmann minimal nonlinear model parameters as well as the input saturation. Anti windup compensator is designed to prevent to saturation problems as hyperglycemia or hypoglycemia in regulating the blood glucose level of type 1 diabetes patients. The Bergman minimal model is used to mathematically model type 1 diabetes, depicting the dynamic behavior of the human body's blood glucose-insulin system. In the first step, the stability of the closed-loop system has been theoretically investigated and proved from the point of view of Lyapunov's theory. Next, to evaluate the effectiveness of the proposed method in regulating blood glucose levels, the proposed control system has been implemented in the presence of meal disturbances using the Simulink environment of MATLAB software. The implementation results show a lower control effort and less convergence time of the proposed method compared to the existing methods.