Internal Model Control (IMC) applied to the blood glucose regulation process in body of a type 1 diabetic patient in this study. Minimal Model (BMM) adopted as the type 1 diabetic patient was linearized using Taylor Series expansion to get appropriate transfer function. Insulin infusion rate was used as the manipulated variable to control the blood glucose concentration while glucose meal was used as disturbance variable. IMC algorithm was developed to control the process model using the IMC structure along with the Single Input Single Output (SISO) tool in MATLAB. Single parameter associated with IMC was tuned by using percentage of settling time (% OLST) for open the loop model representing the patient. The parameter equivalent to 5% OLST gave the best setting for full-order IMC with closed-loop settling time of 55.913 min, without violating input constraint. The parameter equivalent to 10% OLST gave the best setting for reduced-order IMC with closed-loop settling time of 93.788 min. The controllers gave good performance in term of set point tracking and disturbance attenuation. Comparison of IMC with PID controllers based on Zeigler-Nichols and Cohen-Coon indicated that IMC outperformed PID controllers.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    INTERNAL MODEL CONTROL DESIGN FOR BLOOD GLUCOSE REGULATION IN A TYPE 1 DIABETIC PATIENT


    Beteiligte:
    Araromi, D. O. (Autor:in) / Agarry, S. E. (Autor:in) / Onifade, D. V. (Autor:in)

    Erscheinungsdatum :

    02.08.2014


    Anmerkungen:

    LAUTECH Journal of Engineering and Technology; Vol 8 No 2 (2014): Vol 8 no 2; 127-136 ; 2672-5940 ; 1597-0000


    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    DDC:    629



    Blood Glucose Regulation for Type 1 Diabetic Patients at Intensive Care Unit via Continuous Sliding-Mode Algorithms

    Franco, Roberto / Ríos, Héctor / Ferreira de Loza, Alejandra et al. | Springer Verlag | 2023


    Agent-based Simulation for Blood Glucose Control in Diabetic Patients

    Sh. Yasini / M. B. Naghibi-Sistani / A. Karimpour | BASE | 2009

    Freier Zugriff

    DEVICES, SYSTEMS, AND METHODS FOR PREDICTING BLOOD GLUCOSE LEVELS BASED ON A PERSONALIZED BLOOD GLUCOSE REGULATION MODEL

    MATSUMOTO YURI KENDJI / RODRIGUES EDUARDO DE MATOS / ANTLOGA VITOR PUCCIARELLI et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Data-Driven Disturbance Estimation and Control with Application to Blood Glucose Regulation

    Novara C. / Rabbone I. / Tinti D. | BASE | 2020

    Freier Zugriff

    An Algorithm of Regulation of Glucose-Insulin Concentration in the Blood

    B. Selma / S. Chouraqui | BASE | 2017

    Freier Zugriff