Improvements on Adaptive Predictive Control for Blood Glucose Regulation in Type I Diabetic Patients

GERMÁN CAMPETELLI; DAVID ZUMOFFEN; MARTA BASUALDO

Computer Aided Chemical Engineering

Elsevier

Lugar: London; Año: 2012; p. 1392 - 1396

An artificial pancreas to solve the problem of type I diabetes mellitus is a closed loop system composed of a blood glucose biosensor, a control algorithm and an insulin pump. It is in charge of maintaining plasma glucose concentration of a diabetic patient within the healthy range of 70 - 180 mg/dl. In this paper, an improved adaptive predictive control with robust filter (APCWRF) is tested as a new control algorithm to be applied for this purpose. Some modifications such as the shape of the glycaemia reference trajectory, based on the plasma glucose evolution of a healthy person having the same meal intake, is introduced. In addition, a variable weighting factor (αi) in the cost function is included in order to prevent dangerous glycaemia incursions close to the allowed limits. Meal announcement in advance is combined with feedback control to improve the glycaemia regulation. Finally, this control algorithm is rigorously tested on a recognized simulator of type I diabetic patients that has been approved in 2008 by the FDA.