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Journal of Medical Systems

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01.12.2016 | Systems-Level Quality Improvement

Performance Analysis of Fuzzy-PID Controller for Blood Glucose Regulation in Type-1 Diabetic Patients

verfasst von: Jyoti Yadav, Asha Rani, Vijander Singh

Erschienen in: Journal of Medical Systems | Ausgabe 12/2016

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Abstract

This paper presents Fuzzy-PID (FPID) control scheme for a blood glucose control of type 1 diabetic subjects. A new metaheuristic Cuckoo Search Algorithm (CSA) is utilized to optimize the gains of FPID controller. CSA provides fast convergence and is capable of handling global optimization of continuous nonlinear systems. The proposed controller is an amalgamation of fuzzy logic and optimization which may provide an efficient solution for complex problems like blood glucose control. The task is to maintain normal glucose levels in the shortest possible time with minimum insulin dose. The glucose control is achieved by tuning the PID (Proportional Integral Derivative) and FPID controller with the help of Genetic Algorithm and CSA for comparative analysis. The designed controllers are tested on Bergman minimal model to control the blood glucose level in the facets of parameter uncertainties, meal disturbances and sensor noise. The results reveal that the performance of CSA-FPID controller is superior as compared to other designed controllers.

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Titel: Performance Analysis of Fuzzy-PID Controller for Blood Glucose Regulation in Type-1 Diabetic Patients
verfasst von: Jyoti Yadav
Asha Rani
Vijander Singh
Publikationsdatum: 01.12.2016
Verlag: Springer US
Erschienen in: Journal of Medical Systems / Ausgabe 12/2016
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-016-0602-6

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Performance Analysis of Fuzzy-PID Controller for Blood Glucose Regulation in Type-1 Diabetic Patients

Abstract

Live-Webinar "Urologie und Sexualmedizin in der Praxis"

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