Beta 1

Title Model predictive regulation
Author Gøtting, Allan
Supervisor Jørgensen, John Bagterp (Scientific Computing, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Institution Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
Thesis level Master's thesis
Year 2008
Abstract Diabetes Mellitus type 1 is currently a chronic disease without a cure affecting more than 180 million people worldwide. It is characterized by the inability of the pancreas to secrete insulin and results in a too high glucose concentration in the blood. The disease is treated by directly injecting the deficiency subcutaneous (sc) insulin by the patient. The aim is to maintain a glucose concentration as close to 90 mg=dl as possible. The decision of the amount of sc insulin to inject is based on a measurement of the glucose concentration and is chosen by the patient. In the fear of too low glucose concentration, hypoglycaemia, there is a tendency to injecting too little sc insulin which results in too high glucose concentration. This gives long-term complications like kidney failure, amputation, blindness and nerve damage. By removing the decisions from the patient these complications can be reduced or removed. The artificial pancreas is a method of removing the decision from the patient where a computer calculates the amount of sc insulin to inject. The calculations are based on measurements of glucose concentration in the blood of the patient and is taken for every e.g. 5 minutes. There has been widely research in the artificial pancreas. In this thesis a system of a diabetes patient is modelled by the Hovorka model which is a well-known model of such. The system is regulated by a Model Predicted Controller (MPC) where a Finite Impulse Response (FIR) model is used to predict the future glucose concentration. The regulation by MPC has difficulties regulating the Hovorka model in some scenarios. The FIR models lack of a method for feed-forward and the lack of a method for avoiding violating the hypoglycaemia bound makes this regulation unsuficient. The feed-forward has been used in other approaches with good results where a meal detection algorithm is used to estimate the disturbance.
Series IMM-M.Sc.-2008-79
Original PDF ep08_79_net.pdf (0.92 MB)
Admin Creation date: 2008-08-18    Update date: 2008-08-18    Source: dtu    ID: 222489    Original MXD