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Modeling and Control of the Glucose‐Insulin‐Glucagon System in Type I Diabetis Mellitus
ChemBioEng Reviews ( IF 6.2 ) Pub Date : 2020-05-12 , DOI: 10.1002/cben.201900015
Subramaniam Sangeetha 1 , Chandrasekar Sreepradha 2 , Subramani Sobana 1 , Panda Bidisha 3 , Rames C. Panda 2
Affiliation  

Type I diabetes mellitus (DM) is a chronic disease characterized by the inability of the pancreas to produce enough insulin. This results in a high glucose concentration in the blood. External administration of insulin is required to maintain normoglycemia. The accurate amount of insulin and the right time of administration can be obtained from monitoring and practicing model‐based control. A model with insulin as a regulatory hormone has already been developed for DM. It has then been extended by considering both insulin and glucagon as regulatory hormones. The model parameters are estimated using non‐linear least‐square techniques on data from frequently sampled intravenous glucose tolerance tests (FSIGT) from the literature, thus optimizing the model parameters for type I patients. Using this model, a model‐predictive controller (MPC) has been designed to maintain normoglycemia in subjects with DM when subjected to disturbances. Finally, a comparative performance analysis between the MPC and conventional PID controller has been carried out. In conclusion, the model‐predictive controller is promising for the control of glucose concentration in subjects with type 1 diabetes mellitus when subjected to disturbances.

中文翻译:

I型糖尿病患者的葡萄糖-胰岛素-胰高血糖素系统的建模和控制

I型糖尿病(DM)是一种慢性疾病,其特征是胰腺无法产生足够的胰岛素。这导致血液中葡萄糖浓度高。维持血糖正常需要外用胰岛素。可以通过监视和实施基于模型的控制来获得准确的胰岛素剂量和正确的给药时间。已经开发出了以胰岛素作为调节激素的糖尿病模型。通过考虑将胰岛素和胰高血糖素同时作为调节激素来扩展它。使用非线性最小二乘法对文献中频繁采样的静脉葡萄糖耐量测试(FSIGT)的数据估计模型参数,从而优化I型患者的模型参数。使用这个模型,设计了模型预测控制器(MPC),以在患有疾病的DM患者中维持正常血糖。最后,对MPC和常规PID控制器之间的性能进行了比较。总而言之,模型预测控制器有望在受到干扰的情况下控制1型糖尿病患者的血糖浓度。
更新日期:2020-05-12
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