Simulation of Blood Glucose Level using Fuzzy Controller

Abstract

Diabetes mellitus is an illness caused due to inefficiency of the pancreas. This illness caused can result in many side difficulties and even death. For effective control of diabetes mellitus fuzzy logic theory seems to be more viable technique. Control theory has emerged as one of the most active areas for research during past several years in application of fuzzy set theory. Fuzzy logic is incorporated into fuzzy controller. This is a logical system which is much more reliable than traditional logical systems. In this research, a closed loop algorithm using fuzzy logic controller of Mamdani type is developed for glucose regulation in blood of diabetic patients. The blood glucose level is desired to be maintained at normoglycemic average of 80mg/dl. Using a simple mathematical model developed by Stolwijk and Hardy’s glucose-insulin regulation model is obtained. This model imitates artificial pancreas. Main function of pancreas is to regulate glucose concentration in body through release of enzyme insulin. Terms glucose and insulin are interrelated. The performance of controller is assessed by its ability to efficiently stabilize glucose level in optimal time as compared to other researches. This research proposed an optimal technique for regulation of blood glucose level of both type-I and type-II diabetic patients. The analysis of type-I and type-II diabetic person has been done by implementing model with closed loop feedback system in Matlab/Simulink. The development in this research proposed simple mechanism of insulin delivery in diabetic patients which enhances their quality of life by early stabilization of glucose level.