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Bihormonal model predictive control of blood glucose in people with type 1 diabetes

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In this paper we present a bihormonal control system that controls blood glucose in people with type 1 diabetes (T1D). We use insulin together with glucagon to mitigate the negative effects of hyper-and hypoglycemia. The system consists of a Kalman filter, a micro-bolus insulin and glucagon infusion MPC, a mealtime bolus calculator and a CGM providing feedback to the controller. The controller employs a patient data-based prediction model with ARMAX structure. We test the controller using a bihormonal model with time-varying parameters for 3 subjects and compare its performance to a system with an identical insulin MPC, but a glucagon PD controller. The key contribution of the bihormonal MPC is the efficiency of glucagon use. We consider scenarios where the meals are estimated correctly or overestimated and where the insulin sensitivity increases. Both solutions provide tight glucose control. According to the simulations, the bihormonal MPC requires on average 30% less glucagon than the system with a PD controller.

Original languageEnglish
Title of host publication2014 IEEE Conference on Control Applications, CCA 2014
Number of pages6
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication date1 Jan 2014
Pages1693-1698
Article number6981556
ISBN (Electronic)9781479974092
DOIs
Publication statusPublished - 1 Jan 2014
Event2014 IEEE Conference on Control Applications, CCA 2014 - Juan Les Antibes, France
Duration: 8 Oct 201410 Oct 2014

Conference

Conference2014 IEEE Conference on Control Applications, CCA 2014
LandFrance
ByJuan Les Antibes
Periode08/10/201410/10/2014

Event

2014 IEEE Conference on Control Applications, CCA 2014

08/10/201410/10/2014

Juan Les Antibes, France

Event: Conference

ID: 55450821