DocumentCode
578350
Title
PID control of glucose concentration in subjects with type 1 diabetes based on a simplified model: An in silico trial
Author
Li, Peng ; Yu, Lei ; Guo, Liquan ; Dong, Jixiang ; Hu, Ji ; Fang, Qiang
Author_Institution
Changchun Inst. of Opt., Fine Mech. & Phys., Changchun, China
fYear
2012
fDate
6-8 July 2012
Firstpage
5051
Lastpage
5055
Abstract
An artificial pancreas system (APS) mimics the function of a real pancreas through monitoring a diabetic´s blood glucose and administering the right dose of insulin via an automatic control loop. It is hailed as a promising cure of diabetes, though this technology is still years away from commercial use due to a few technological bottlenecks. The simulation model of insulin-glucose metabolism of type 1 diabetes mellitus (T1DM) is an essential part of APS. In order to simplify the parameter identification task so that the model can be implemented electronically with ease, this paper presents a simplified model based on Routh approximation model reduction method. The results show that the approximation error between the simplified model and the original model is so small that can be neglected. Based on the simplified model, a PID controller is designed to maintain normoglycemia (90 mg/dl) in subjects with T1DM. The in silico simulation results show that the glucose concentration is controlled well, the risk of hyperglycemia and hypoglycemia is reduced a lot. This suggests that the simplified model describes the insulin-glucose metabolism process accurately, and the PID control algorithm is well-suitable to guide the further development of an APS.
Keywords
artificial organs; biocontrol; chemical variables control; control system synthesis; diseases; drug delivery systems; parameter estimation; reduced order systems; sugar; three-term control; APS; PID controller design; Routh approximation model reduction method; T1DM; Type 1 diabetes mellitus; Type 1 diabetes subject; approximation error; artificial pancreas system; automatic control loop; diabetes cure; diabetic blood glucose monitoring; glucose concentration; hyperglycemia risk reduction; hypoglycemia risk reduction; in silico trial; insulin dose administration; insulin-glucose metabolism process; normoglycemia; pancreas function; parameter identification task; simulation model; technological bottleneck; Approximation methods; Computational modeling; Diabetes; Insulin; Mathematical model; Plasmas; Sugar; Insulin-glucose metabolism model; Model reduction; PID control; Routh approximation; T1DM;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6359435
Filename
6359435
Link To Document