Optimizing blood glucose regulation in type 1 diabetes: A fractional order controller approach

Author:

Shenbagam Manikandan1ORCID,Kanagaraj Ganesan1ORCID,Giri Jayant2ORCID,Yu Vincent F.3ORCID,Qin Hong4ORCID,Mallik Saurav5

Affiliation:

1. Department of Mechatronics, Thiagarajar College of Engineering 1 , Madurai 625015, Tamil Nadu, India

2. Department of Mechanical Engineering, Yeshwantrao Chavan College of Engineering 2 , Nagpur, India

3. Department of Industrial Management, National Taiwan University of Science and Technology 3 , Taipei 106335, Taiwan

4. Department of Computer Science and Engineering, University of Tennessee at Chattanooga 4 , Chattanooga, Tennessee 37403, USA

5. Department of Environmental Health, Harvard T.H. Chan School of Public Health 5 , Boston, Massachusetts 02115, USA

Abstract

This study presents the design and implementation of a Fractional Order Proportional, Integral, and Derivative (FOPID) controller intended for the regulation of blood glucose levels in individuals with type 1 diabetes mellitus (T1DM). The efficacy of this controller is evaluated through its application to a nonlinear Stolwijk–Hardy model simulating T1DM patients, accounting for a range of physiological conditions. Utilizing a genetic algorithm, the parameters of the FOPID controller are fine-tuned. By conducting a comparative analysis with previously established control algorithms, the performance of the proposed controller is validated, demonstrating its superior performance. The results underscore the significant improvements achieved by the proposed controller in maintaining blood glucose concentrations within safe thresholds, particularly in scenarios involving disruptions due to meals.

Funder

USA National Academy of Medicine, AI Tennessee Initiative, and the support at the University of Tennessee at Chattanooga.

Publisher

AIP Publishing

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