Generalized Super-Twisting Control for an Insulin Infusion System for Patients with Type 1 Diabetes-Reference-Cited by-同舟云学术

Generalized Super-Twisting Control for an Insulin Infusion System for Patients with Type 1 Diabetes

Published:2022-06-30 Issue: Volume: Page:1-8
ISSN:2410-4191
Container-title:ECORFAN Journal Bolivia
language:en
Short-container-title:EJB

Author:

Guerrero Jesús¹^ORCID,Frausto-Saavedra Bryan¹^ORCID,Chimal-Cruz Martin²^ORCID,Ortiz-Santos Salvador³^ORCID

Affiliation:

1. Tecnológico Nacional de México/ ITS Abasolo

2. Universidad Politécnica de Guanajuato

3. Universidad Autónoma de Querétaro

Abstract

Type-1 diabetes is the number 1 disease in the world. When a person becomes ill, the patient's pancreas is no longer able to generate insulin to lower blood glucose levels when food is eaten. An alternative way to treat patients with diabetes is automatic insulin infusion systems. In this article, a control based on higher order sliding modes for the control of blood glucose is designed. The proposed controller is based on the Generalized Super-Twisting algorithm, which offers convergence in finite time, and is robust against external disturbances and parametric uncertainties. Also, the stability of the proposed controller is tested using Lyapunov arguments. Finally, the control performance is compared against other proposed methodologies. Those controllers were proven under several scenarios through computer simulations in MATLAB.

Publisher

ECORFAN

Subject

Automotive Engineering

Reference24 articles.

1. [1] SARI, M. R. A. "Optimal blood glucose level control using dynamic programming based on minimal Bergman model." Journal of Physics: Conference Series. Vol. 974. No. 1. IOP Publishing, 2018. https://doi.org/10.1088/1742-6596/974/1/012036

2. [2] RADOMSKI, D., & GŁOWACKA, J. ("Sensitivity Analysis of the Insulin-Glucose Mathematical Model." International Conference on Information Technologies in Biomedicine. Springer, Cham, 2018. https://doi.org/10.1007/978-3-319-91211-0_40

3. [3] PALUMBO, P., DITLEVSEN, S., BERTUZZI, A., & DE GAETANO, A.. "Mathematical modeling of the glucose–insulin system: A review." Mathematical biosciences 244.2 (2013): 69-81. https://doi.org/10.1016/j.mbs.2013.05.006

4. [4] EERDEKENS, G. J., REX, S., & MESOTTEN, D. "Accuracy of blood glucose measurement and blood glucose targets." Journal of Diabetes Science and Technology 14.3 (2020): 553-559. https://doi.org/10.1177/1932296820905581

5. [5] LIU, S., SHEN, Z., DENG, L., & LIU, G. "Smartphone assisted portable biochip for non-invasive simultaneous monitoring of glucose and insulin towards precise diagnosis of prediabetes/diabetes." Biosensors and Bioelectronics (2022): 114251. https://doi.org/10.1016/j.bios.2022.114251