DESIGN OF MODIFIED SECOND ORDER SLIDING MODE CONTROLLER BASED ON ST ALGORITHM FOR BLOOD GLUCOSE REGULATION SYSTEMS

Ekhlas H.  KARAM; Eman H.  JADOO

doi:10.23743/acs-2020-10

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Published: Jun 30, 2020

DOI: https://doi.org/10.23743/acs-2020-10

DOI

https://doi.org/10.23743/acs-2020-10

Authors

Ekhlas H. KARAM

ek_karam@yahoo.com

* Mustansiriyah University, College of Engineering, Computer Engineering Department, Palestine Street, 14022, Baghdad

Eman H. JADOO

eman_hassony24@yahoo.com

Mustansiriyah University, College of Engineering, Computer Engineering Department, Palestine Street, 14022, Baghdad

Abstract

The type1 of diabetes is a chronic situation characterized by abnormally high glucose levels in the blood. Persons with diabetes characterized by no insulin secretion in the pancreas (ß-cell) which also known as insulin-dependent diabetic Mellitus (IDDM). In order to keep the levels of glucose in blood near the normal ranges (70-110mg/dl), the diabetic patients needed to inject by external insulin from time to time. In this paper, a Modified Second Order Sliding Mode Controller (MSOSMC) has been developed to control the concentration of blood glucose levels under a disturbing meal. The parameters of the suggested design controller are optimized by using chaotic particle swarm optimization(CPSO) technique, the model which is used to represent the artificial pancreas is a minimal model for Bergman. The simulation was performed on a MATLAB/ SIMULINK to verify the performance of the suggested controller. The results showed the effectiveness of the proposed MSOSMC in controlling the behavior of glucose deviation to a sudden rise in blood glucose.

Keywords:

Type I Diabetes, Second Order Sliding Mode Control, Chaotic Particle Swarm Optimization, BEM mode

References

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KARAM, E. H., & JADOO, E. H. . (2020). DESIGN OF MODIFIED SECOND ORDER SLIDING MODE CONTROLLER BASED ON ST ALGORITHM FOR BLOOD GLUCOSE REGULATION SYSTEMS. Applied Computer Science, 16(2), 18–31. https://doi.org/10.23743/acs-2020-10

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