PID controller tuning using multi-objective ant colony optimization for blood glucose level of a diabetic patient

Mohanad A. Dief; Waleed Alomoush; Hani Atta; Osama A. Khashan; Ahmed Solyman; Rania E. L. Elgohary

doi:10.1109/ICCR61006.2024.10532878

PID controller tuning using multi-objective ant colony optimization for blood glucose level of a diabetic patient

Mohanad A. Dief, Waleed Alomoush, Hani Atta, Osama A. Khashan, Ahmed Solyman, Rania E. L. Elgohary

Electrical Power Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this research, a nonlinear suboptimal controller was provided for type 1 diabetes patients' blood glucose level regulation based on a Proportional-Integral-Derivative (PID) controller with Ant Colony Optimization (ACO). The ACO approach is used to determine the ideal PID controller gain settings within a stability area. This study simulates three cases of a physiological model of glucose regulation in people with type 1 diabetes (No insulin treatment, fixed insulin injection, and Controlled blood glucose concentration using a PID controller) by using the Bergman Model in the context of meal-induced disturbances. In terms of dynamic performance, such as a reduction in maximum overshoot, settling time, and rising time, simulation findings suggest that the proposed technique for PID tuning using the ACO algorithm is more adaptable and cost-effective.

Original language	English
Title of host publication	2024 2nd International Conference on Cyber Resilience (ICCR)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	10
ISBN (Electronic)	9798350394962
ISBN (Print)	9798350394979
DOIs	https://doi.org/10.1109/ICCR61006.2024.10532878
Publication status	Published - 22 May 2024
Event	2nd International Conference on Cyber Resilience - Dubai, United Arab Emirates Duration: 26 Feb 2024 → 28 Feb 2024 https://iccr2.gaftim.com (Link to Conference website)

Publication series

Name	International Conference on Cyber Resilience
ISSN (Print)	None

Conference

Conference	2nd International Conference on Cyber Resilience
Abbreviated title	ICCR 2024
Country/Territory	United Arab Emirates
City	Dubai
Period	26/02/24 → 28/02/24
Internet address	https://iccr2.gaftim.com (Link to Conference website)

Keywords

PID
ACO
Bergman Model, type 1 diabetic patient
blood Glucose Concentrations

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Safety, Risk, Reliability and Quality
Social Sciences (miscellaneous)
Education
Information Systems and Management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Documents and Links

10.1109/ICCR61006.2024.10532878

Cite this

Dief, M. A., Alomoush, W., Atta, H., Khashan, O. A., Solyman, A., & Elgohary, R. E. L. (2024). PID controller tuning using multi-objective ant colony optimization for blood glucose level of a diabetic patient. In 2024 2nd International Conference on Cyber Resilience (ICCR) (International Conference on Cyber Resilience). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCR61006.2024.10532878

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title = "PID controller tuning using multi-objective ant colony optimization for blood glucose level of a diabetic patient",

abstract = "In this research, a nonlinear suboptimal controller was provided for type 1 diabetes patients' blood glucose level regulation based on a Proportional-Integral-Derivative (PID) controller with Ant Colony Optimization (ACO). The ACO approach is used to determine the ideal PID controller gain settings within a stability area. This study simulates three cases of a physiological model of glucose regulation in people with type 1 diabetes (No insulin treatment, fixed insulin injection, and Controlled blood glucose concentration using a PID controller) by using the Bergman Model in the context of meal-induced disturbances. In terms of dynamic performance, such as a reduction in maximum overshoot, settling time, and rising time, simulation findings suggest that the proposed technique for PID tuning using the ACO algorithm is more adaptable and cost-effective.",

keywords = "PID, ACO, Bergman Model, type 1 diabetic patient, blood Glucose Concentrations",

author = "Dief, {Mohanad A.} and Waleed Alomoush and Hani Atta and Khashan, {Osama A.} and Ahmed Solyman and Elgohary, {Rania E. L.}",

year = "2024",

month = may,

day = "22",

doi = "10.1109/ICCR61006.2024.10532878",

language = "English",

isbn = "9798350394979",

series = "International Conference on Cyber Resilience",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2024 2nd International Conference on Cyber Resilience (ICCR)",

address = "United States",

note = "2nd International Conference on Cyber Resilience, ICCR 2024 ; Conference date: 26-02-2024 Through 28-02-2024",

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}

Dief, MA, Alomoush, W, Atta, H, Khashan, OA, Solyman, A & Elgohary, REL 2024, PID controller tuning using multi-objective ant colony optimization for blood glucose level of a diabetic patient. in 2024 2nd International Conference on Cyber Resilience (ICCR). International Conference on Cyber Resilience, Institute of Electrical and Electronics Engineers Inc., 2nd International Conference on Cyber Resilience, Dubai, United Arab Emirates, 26/02/24. https://doi.org/10.1109/ICCR61006.2024.10532878

PID controller tuning using multi-objective ant colony optimization for blood glucose level of a diabetic patient. / Dief, Mohanad A.; Alomoush, Waleed; Atta, Hani et al.
2024 2nd International Conference on Cyber Resilience (ICCR). Institute of Electrical and Electronics Engineers Inc., 2024. (International Conference on Cyber Resilience).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - PID controller tuning using multi-objective ant colony optimization for blood glucose level of a diabetic patient

AU - Dief, Mohanad A.

AU - Alomoush, Waleed

AU - Atta, Hani

AU - Khashan, Osama A.

AU - Solyman, Ahmed

AU - Elgohary, Rania E. L.

PY - 2024/5/22

Y1 - 2024/5/22

N2 - In this research, a nonlinear suboptimal controller was provided for type 1 diabetes patients' blood glucose level regulation based on a Proportional-Integral-Derivative (PID) controller with Ant Colony Optimization (ACO). The ACO approach is used to determine the ideal PID controller gain settings within a stability area. This study simulates three cases of a physiological model of glucose regulation in people with type 1 diabetes (No insulin treatment, fixed insulin injection, and Controlled blood glucose concentration using a PID controller) by using the Bergman Model in the context of meal-induced disturbances. In terms of dynamic performance, such as a reduction in maximum overshoot, settling time, and rising time, simulation findings suggest that the proposed technique for PID tuning using the ACO algorithm is more adaptable and cost-effective.

AB - In this research, a nonlinear suboptimal controller was provided for type 1 diabetes patients' blood glucose level regulation based on a Proportional-Integral-Derivative (PID) controller with Ant Colony Optimization (ACO). The ACO approach is used to determine the ideal PID controller gain settings within a stability area. This study simulates three cases of a physiological model of glucose regulation in people with type 1 diabetes (No insulin treatment, fixed insulin injection, and Controlled blood glucose concentration using a PID controller) by using the Bergman Model in the context of meal-induced disturbances. In terms of dynamic performance, such as a reduction in maximum overshoot, settling time, and rising time, simulation findings suggest that the proposed technique for PID tuning using the ACO algorithm is more adaptable and cost-effective.

KW - PID

KW - ACO

KW - Bergman Model, type 1 diabetic patient

KW - blood Glucose Concentrations

U2 - 10.1109/ICCR61006.2024.10532878

DO - 10.1109/ICCR61006.2024.10532878

M3 - Conference contribution

AN - SCOPUS:85195117811

SN - 9798350394979

T3 - International Conference on Cyber Resilience

BT - 2024 2nd International Conference on Cyber Resilience (ICCR)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd International Conference on Cyber Resilience

Y2 - 26 February 2024 through 28 February 2024

ER -

Dief MA, Alomoush W, Atta H, Khashan OA, Solyman A, Elgohary REL. PID controller tuning using multi-objective ant colony optimization for blood glucose level of a diabetic patient. In 2024 2nd International Conference on Cyber Resilience (ICCR). Institute of Electrical and Electronics Engineers Inc. 2024. (International Conference on Cyber Resilience). doi: 10.1109/ICCR61006.2024.10532878

PID controller tuning using multi-objective ant colony optimization for blood glucose level of a diabetic patient

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Documents and Links

Fingerprint

Cite this