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).

中文翻译：

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使用单一模型预测控制 1 型糖尿病的血糖调节和控制胰岛素和胰高血糖素输注。

本研究详细阐述了使用模型预测控制算法设计人工胰腺，用于综合生理模型，如 Sorensen 模型，可调节血糖并在正常血糖区域具有较长的控制时间。所提出算法的主要目标是消除高血糖和低血糖的风险，并精确输注激素：胰岛素和胰高血糖素。开发了一个单一模型预测控制器来控制双激素、胰岛素和胰高血糖素，以便在随机时间考虑这种发育未测量的干扰。所提出算法的模拟结果进行了良好的调节，降低了低血糖风险并将血糖水平维持在正常血糖范围内。为了验证输出和设定点跟踪的性能，