#Fuzzy controller matlab simulink how to#

It also reduces the total number of rules.Дefining fuzzy rules without experience is a difficult task. The controller uses a tree of two connected fuzzy inference system to incrementally add the inputs. It uses three inputs- blood glucose level, exchange rate, and acceleration rate.

The fuzzy controller is enabled every five minutes with a new sample. This natural context specific insulin dose control is more suitable for a rule-based non-linear control like fuzzy controller. Moreover, when the blood glucose level is very low in hypoglycemic condition, the controller needs to stop the insulin doses. The high glucose intake requires short acting high insulin doses, whereas the fasting level low glucose requires long acting, low insulin doses. The blue line in this plot shows that carbohydrate-based meals without corrective insulin doses may lead to hypoglycemic condition with very high blood glucose levels. Insulin pump injects the corrective insulin doses to the patient's body. Controller produces a corrective insulin dose to regulate the blood glucose level in the normal range, which is 80 to 100 milligrams per deciliter. Glucose monitoring sensor takes blood glucose sample every five minutes. The artificial insulin infusion system is called Artificial Pancreas, which has three main components.

#Fuzzy controller matlab simulink how to#

This video shows how to design a fuzzy inference system tree controller to regulate blood glucose of a type I diabetic patient using an artificial insulin infusion system.