A Robust Fractional-Order Controller for Biomedical Applications

Automatic control in biomedicine has attracted the attention of clinicians to mitigate the side effects resulting from drug overdoses administered to patients. To provide the most optimal and accurate results, the computer-controlled systems in biomedical engineering require more advanced tuning procedures that tackle patient variability and ensure the robustness of the control system. This has been enhanced over the past two decades through the replacement of standard PID controllers with fractional-order controllers. However, most of the developed fractional-order control methods address only the robustness with respect to gain variations. In this study, a novel fractional-order control algorithm that is robust to time constant variations is developed. The control algorithm is designed for second-order plus dead time systems. A graphical solution is chosen to solve the nonlinear system of equations for the proposed approach. Three biomedical applications are employed as case studies. The first one consists in the control of the bispectral index in general anesthesia, the second one refers to the blood glucose level control for diabetic patients, and finally, the third one tackles computerized control in chemotherapy. The closed-loop simulation results validate the efficiency of the tuning method according to the accepted values of the performance specifications in the scientific literature.

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Publication Details

Journal
Fractal and Fractional
Published
2025-09-12
DOI
https://doi.org/10.3390/fractalfract9090597
Citations
2
Primary Topic
Advanced Control Systems Design
Type
article
Field-Weighted Citation Impact
2.43
Controls
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article

A Robust Fractional-Order Controller for Biomedical Applications

Marcian Mihai, Isabela Birs, Cristina I. Mureşan, Teodora Popescu et al.
2 citations
Fractal and Fractional
Advanced Control Systems Design
2.43
article

A Robust Fractional-Order Controller for Biomedical Applications

Marcian Mihai, Isabela Birs, Cristina I. Mureşan, Teodora Popescu, Nicoleta E. Badau
article en
2 citations

Abstract

Automatic control in biomedicine has attracted the attention of clinicians to mitigate the side effects resulting from drug overdoses administered to patients. To provide the most optimal and accurate results, the computer-controlled systems in biomedical engineering require more advanced tuning procedures that tackle patient variability and ensure the robustness of the control system. This has been enhanced over the past two decades through the replacement of standard PID controllers with fractional-order controllers. However, most of the developed fractional-order control methods address only the robustness with respect to gain variations. In this study, a novel fractional-order control algorithm that is robust to time constant variations is developed. The control algorithm is designed for second-order plus dead time systems. A graphical solution is chosen to solve the nonlinear system of equations for the proposed approach. Three biomedical applications are employed as case studies. The first one consists in the control of the bispectral index in general anesthesia, the second one refers to the blood glucose level control for diabetic patients, and finally, the third one tackles computerized control in chemotherapy. The closed-loop simulation results validate the efficiency of the tuning method according to the accepted values of the performance specifications in the scientific literature.

Fractal and FractionalVol. 9(9)
Technical University of Cluj-Napoca (RO)
Openalex Percentile: Top 10%
Advanced Control Systems Design
2.43
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