Diabetes is a chronic condition characterised by persistently high blood glucose levels that is controllable but not curable. Controlling the blood glucose levels of diabetic patients is one of the uses of PID controllers in Biomedical Engineering. An automated insulin pump system (AIPS) has been developed to regulate glucose concentration by combining glucose monitoring, controller and insulin pump devices. This paper focuses on the design of an optimal controller for controlling glucose levels in the human body using AIPS. Traditional PID tuning methods are inefficient, time-consuming, and expensive. To address this, optimised genetic algorithm (GA) and particle swarm optimisation (PSO) algorithms for tuning AIPS controller PID gains have been provided. PSO-PID controllers outperform other PID controllers for BGC regulation because they provide superior steady-state and transient responses. The simulation study showcased that the PSO-PID controlled AIPS are more efficient in performance.


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    Titel :

    Optimised Glucose Control in Human Body using Automated Insulin Pump System


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Sharma, Sanjay (Herausgeber:in) / Subudhi, Bidyadhar (Herausgeber:in) / Sahu, Umesh Kumar (Herausgeber:in) / Sachan, Shailu (Autor:in) / Swarnkar, Pankaj (Autor:in)

    Kongress:

    International Conference on Robotics, Control, Automation and Artificial Intelligence ; 2022 November 24, 2022 - November 26, 2022



    Erscheinungsdatum :

    2023-11-18


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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