Official websites use. Share sensitive information only on official, secure websites. Most closed-loop insulin delivery systems rely on model-based controllers to control the blood glucose BG level. Simple models of glucose metabolism, which allow easy design of the control law, are limited in their parametric identification from raw data. New control models and controllers issued from them are needed.
A proportional integral derivative with double phase lead controller was proposed. A 36 h scenario, including six unannounced meals, was tested in nine virtual adults. A previous trial database has been used to compare the performance of our controller with their previous results. The scenario was repeated 25 times for each adult in order to take continuous glucose monitoring noise into account.
The low blood glucose index and high blood glucose index were 1. The linear controller presented, based on the linearization of a new easily identifiable nonlinear model, achieves good glucose control with low exposure to hypoglycemia and hyperglycemia. Keywords: closed-loop control, diabetes, nonlinear control model, proportional integral derivative.
This model can be quite appealing for control algorithms because of its simple form. Moreover, its identification can be achieved from data stemming from the glucose monitoring system and the insulin pump.
However, some limitations in the parametric identification of this model have been underlined, leading to difficulties in its practical use. Furthermore, it has been shown that this model does not capture long-term effects of insulin delivery.
