Rapid Model Predictive Controller for Artificial Pancreas

Abstract

Artificial Pancreas (AP) will help large diabetic patients to manage their disease. This paper presents a new Control Algorithm used in AP. This algorithm is based on a model predictive control and characterized by an acceleration of control law without producing overshoot. The method consists on the introduction of two penalization function in the cost function according to the system dynamic. Simulations under a realistic scenario in approved platform of simulation demonstrate the success of this method to obtain satisfactory control performances.