Type 1 diabetes mellitus is a worldwide chronic and autoimmune disease affecting almost 25 million individual around the world. Particularly, in Colombia, it has an annual rate of growth of 3%-5%. Current research in the treatment of this illness is aimed at the implementation of the so-called Artificial Pancreas, a device that allows the regulation of blood glucose levels automatically. Recently, several model predictive control strategies has been developed to accomplish that. In this work, a performance comparison between a standard model predictive control (MPC) and a novel impulsive zone MPC scheme is made based on a novel long-term glucose insulin model. The proposed control strategies ensure the stability under moderate-to-severe disturbances. A long-term scenario - including meals - are simulated and tested in 20 virtual patients. The results appear to be satisfactory as long as every hyperglycemia and hypoglycemia episodes are suitably controlled. The performance comparison also shows that the standard MPC is 70% of the time in the target zone, while the iZMPC is 92.5%.