Abstract
Augmented Minimal Model which is developed in consideration of the patient is taken into attention and uncertainties in this model which can occur by factors such as blood glucose, daily meals or sudden stress in considered. In addition to eliminate the effects of uncertainty, different control methods may be utilized. In this article, fuzzy control as a logical tool is used to transform words into control actions. To enhance the system performance, an interval type-2 Fuzzy controller has been implemented. To date, because of computational complexity of using a general type-2 fuzzy set (T2 FS) in a T2 fuzzy logic system (FLS), most people only use an interval T2 FS, the result being an interval T2 FLS (IT2 FLS). A daily meal disturbance is injected to model to consider the real environment for simulation. Finally, the control method tuned by standard tuning procedure and simulation results show the efficiency of method in regulating the blood glucose level in presentment of daily meal disturbance.
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