The method of insulin injection is studied by many researchers. The optimal injection method can make the blood glucose concentration of diabetic patient steadily and reduce the various complications. In this paper, we propose two control algorithms, a fuzzy-PID control and a classical PID control method for the insulin injection. The computer simulations are done using a mathematical model of the dynamics of blood glucose regulation in the blood system developed by Bergman et al. The simulation is performed to manifest the theoretical analysis. The development reported in this paper is expected to simplify the insulin delivery, thereby enhancing the quality of life of the patient.

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Automated closed-loop insulin infusion therapy has been studied for many years. In closed-loop system, the control algorithm is the key technique of precise insulin infusion. The control algorithm needs to be designed and validated. In this paper, an improved PID algorithm based on insulin-on-board estimate is proposed and computer simulations are done using a combinational mathematical model of the dynamics of blood glucose-insulin regulation in the blood system. The simulation results demonstrate that the improved PID algorithm can perform well in different carbohydrate ingestion and different insulin sensitivity situations. Compared with the traditional PID algorithm, the control performance is improved obviously and hypoglycemia can be avoided. To verify the effectiveness of the proposed control algorithm, in silico testing is done using the UVa/Padova virtual patient software.

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