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<p>Type 1 diabetes management relies on accurate regulation of blood glucose levels through insulin injections. Traditional open-loop systems often struggle with adapting to dynamic disturbances such as meal intake, leading to suboptimal outcomes. This paper introduces a novel closed-loop control system utilizing fixed-time nonsingular terminal sliding mode control with adaptive gains. By addressing system nonlinearities and uncertainties, the proposed method ensures finite-time stability of glucose levels while generating smooth insulin command signals. Unlike conventional techniques, it requires no prior knowledge of uncertainty bounds, making it highly adaptable. MATLAB simulations validate the robust performance of the proposed controller across various scenarios, including different meal intakes, uncertainties in body parameters, and diverse patient profiles. The results highlight significant improvements over existing methods, demonstrating its effectiveness in maintaining stable glucose levels and enhancing patient comfort and safety. This approach offers a promising solution for advancing diabetes care and improving quality of life for individuals with type 1 diabetes.</p>

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Adaptive sliding mode control with fixed-time stability for robust glucose regulation

  • 期刊论文

  • 发表日期：

    2025年4月13日

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  • V. Behnamgol,
  • M. Asadi,
  • Sumeet S. Aphale

摘要

Type 1 diabetes management relies on accurate regulation of blood glucose levels through insulin injections. Traditional open-loop systems often struggle with adapting to dynamic disturbances such as meal intake, leading to suboptimal outcomes. This paper introduces a novel closed-loop control system utilizing fixed-time nonsingular terminal sliding mode control with adaptive gains. By addressing system nonlinearities and uncertainties, the proposed method ensures finite-time stability of glucose levels while generating smooth insulin command signals. Unlike conventional techniques, it requires no prior knowledge of uncertainty bounds, making it highly adaptable. MATLAB simulations validate the robust performance of the proposed controller across various scenarios, including different meal intakes, uncertainties in body parameters, and diverse patient profiles. The results highlight significant improvements over existing methods, demonstrating its effectiveness in maintaining stable glucose levels and enhancing patient comfort and safety. This approach offers a promising solution for advancing diabetes care and improving quality of life for individuals with type 1 diabetes.