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Blood glucose regulation and control of insulin and glucagon infusion using single model predictive control for type 1 diabetes mellitus

机译:用单模预测控制对1型糖尿病使用单模预测控制胰岛素和胰高血糖素输注的血糖调控

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This study elaborates on the design of artificial pancreas using model predictive control algorithm for a comprehensive physiological model such as the Sorensen model, which regulates the blood glucose and can have a longer control time in normal glycaemic region. The main objective of the proposed algorithm is to eliminate the risk of hyper and hypoglycaemia and have a precise infusion of hormones: insulin and glucagon. A single model predictive controller is developed to control the bihormones, insulin, and glucagon for such a development unmeasured disturbance is considered for a random time. The simulation result for the proposed algorithm performed good regulation lowering the hypoglycaemia risk and maintaining the glucose level within the normal glycaemic range. To validate the performance of the tracking of output and setpoint, average tracking error is used and 4.4 mg/dl results are obtained while compared with standard value (14.3 mg/dl).
机译:本研究详细说明了使用模型预测控制算法的人工胰腺设计,以综合生理模型,例如索硒模型,该模型调节血糖,可以在正常血糖区域中具有更长的控制时间。该算法的主要目的是消除Hyper和低血糖的风险,并含有精确输注激素:胰岛素和胰高血糖素。开发了一种单一模型预测控制器以控制双色毒细胞,胰岛素和胰高血糖素,用于这种开发未测量的扰动被认为是随机的。所提出的算法的仿真结果表现了降低低血糖风险并在正常血糖范围内保持葡萄糖水平的良好调节。为了验证输出和设定值跟踪的性能,使用平均跟踪误差,与标准值(14.3mg / dl)相比,获得了4.4mg / dl结果。

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