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An automatic artificial pancreas based on AOA-VPTIDF control algorithm

An automatic artificial pancreas based on AOA-VPTIDF control algorithm The design of an Archimedes optimisation algorithm-variable parameter tilt integral derivative with filter (AOA-VPTIDF) controller for injecting the optimal dose of insulin through the artificial pancreases (APs) for blood glucose (BG) regulation in type I diabetes mellitus (TIDM) patients is presented in this manuscript. The AOA technique is used to optimise the controller parameters for better control execution in this strategy. MATLAB and Simulink are used to evaluate the AOA-VPTIDF controller's productivity in terms of accuracy, robustness and stability. The obtained results show that the AOA-VPTIDF controller is more effective at keeping blood sugar levels in the normal range (70-120 mg/dl). The relative result analysis with other well-known control techniques reveals the reason of improved control execution of the proposed controller. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Advanced Mechatronic Systems Inderscience Publishers

An automatic artificial pancreas based on AOA-VPTIDF control algorithm

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1756-8412
eISSN
1756-8420
DOI
10.1504/ijamechs.2023.128159
Publisher site
See Article on Publisher Site

Abstract

The design of an Archimedes optimisation algorithm-variable parameter tilt integral derivative with filter (AOA-VPTIDF) controller for injecting the optimal dose of insulin through the artificial pancreases (APs) for blood glucose (BG) regulation in type I diabetes mellitus (TIDM) patients is presented in this manuscript. The AOA technique is used to optimise the controller parameters for better control execution in this strategy. MATLAB and Simulink are used to evaluate the AOA-VPTIDF controller's productivity in terms of accuracy, robustness and stability. The obtained results show that the AOA-VPTIDF controller is more effective at keeping blood sugar levels in the normal range (70-120 mg/dl). The relative result analysis with other well-known control techniques reveals the reason of improved control execution of the proposed controller.

Journal

International Journal of Advanced Mechatronic SystemsInderscience Publishers

Published: Jan 1, 2023

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