10348

9547

كارشناسي ارشد

كنترل

اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر

1394

هشت، 98ص.: مصور، جدول، نمودار

مريم ذكري

مرضيه كمالي

1394/05/18

جعفر قيصري، يدالله ذاكري

1396/10/03

كتابنامه

برق و كامپيوتر

مهندسي برق و كامپيوتر

ID9547

به فارسي و انگليسي

Adaptive Model Based Predictive Control of Insulin Glucose System in Patients with Type 1 Diabetes Mina Mohammadi Zahrani Department of Electrical and computer Engineering Isfahan University of Technology Isfahan 84156 83111 IranDegree M Sc Language PersianSupervisors Dr Maryam ZekriAbstract Diabetes is a disorder of body metabolism of blood glucose by insulin In type 1diabetes pancreatic cells that are responsible for the secretion of insulin in the body aredestroyed by the immune system so patient has to inject insulin In traditional way tocontrol type 1 diabetes doctor by taking a regular day profile of blood glucose determinesthe dose of insulin that is injected intravenously several times a day The disadvantage ofthis method is that it limits the patient to a particular life style of food and physical activity Because by changing these factors prescribed insulin dose would not be appropriate andhyperglycemia or hypoglycemia may be seen In addition some factors that influenceblood glucose profile such as stress excitement and etc are not under our control and maycause undesired operation of this way The hypoglycemia short time adverse effectsinclude blurred vision loss of consciousness coma and even death The hyperglycemia inthe long term lead to vascular disease kidney and eye malfunction According to theineffectiveness of this method and mentioned problems the importance of closed loop andadaptive control of glucose insulin system that is the subject of this thesis is obvious Closed loop control presented in this thesis consists of three parts patient identificationand control algorithm The challenge involved in this work is intense effect of fooddisturbance on system and also delay of subcutaneous injection and delay of continuousblood glucose sensor In this study from physiological models provided for the personwith diabetes Hovorka model is used as a virtual patient The on line identification systemis used to identify the effects of foreign factors that influence glucose insulin dynamic that we cannot control them in traditional way so the system is adaptive In fact in thisstep recursive least squares method is used to make a mathematical model ARX andHammerstein by the data received from the virtual patient and model is updated every tenminutes Then in controller block by using model predictive control we try to set bloodglucose within the desired band with presence of delay In this step by applying GPC andNMPC controllers at identified models it is seen that NMPC has better performance but itdroppes into hypoglycemia range for a short time The conventional method to improve theperformance of the system against food disturbance consist of adding feedforward controlthat need to manually enter the information of food that is eaten Finally unlikeconventional method we add glucose as a new control input that is equivalent of injectingglucose serum and use multi variable control system to improve the performance of the

مريم ذكري

مرضيه كمالي

جعفر قيصري، يدالله ذاكري