Pieper, JeffFrayne, Mark Christopher Hill2024-06-172024-06-172024-06-13Frayne, M. C. H. (2024). Development of an artificial pancreas: control of glucose in type 1 diabetics using model predictive control with a low order model (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.https://hdl.handle.net/1880/118948https://doi.org/10.11575/PRISM/46544Type one diabetes is an autoimmune disorder that causes people to not produce hormones that govern glucose control, which can lead to many health issues. The current treatment for this disorder is the injection of insulin either manually or with a preprogramed pump. An artificial pancreas is a device that aims to improve this treatment by connecting the pump to a glucose sensor and feedback controller to automatically adjust the injection rate. This project proposes the use of Model Predictive Control (MPC) to close this loop. MPC was implemented using a low-order linear model of the human glucose system and applied to simple human kinetic models as well as a higher-order complex plant. In both cases the controller was able to significantly reduce the maximum glucose levels along with time-integrated excursion measures. In realistic simulations modelling human physiology, maximum hyperglycemia was reduced from 174 mg/dL to 120 mg/dL when a disturbance of 100g of carbohydrates was applied.enUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.Model Predictive ControlArtificial PancreasType 1 DiabetesEngineering--MechanicalEngineering--Biomedicalmaster thesis