A Novel Fractional High-Order Sliding Mode Control for Enhanced Bioreactor Performance

This research introduces a fractional high-order sliding mode control (FHOSMC) method that utilises an inverse integral fractional order, 0<β<1, as the high order on the FHOSMC reaching law, exhibiting a novel contribution in the related field of study. The application of the proposed approach into a bioreactor system via diffeomorphism operations demonstrates a notable improvement in the management of the bioreactor dynamics versus classic controllers. The numerical findings highlight an improved precision in tracking reference signals and an enhanced plant stability compared to proportional–integral–derivative (PID) controller implementations within challenging disturbance scenarios. The FHOSMC effectively maintains the biomass concentration at desired levels, reducing the wear of the system as well as implementation expenses. Furthermore, the theoretical analysis of the convergence within time indicates substantial potential for further enhancements. Subsequent studies might focus on extending this control approach to bioreactor systems that integrate sensor technologies and the formulation of adaptive algorithms for real-time adjustments of β-type fractional-orders.

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Publication Details

Journal
Fractal and Fractional
Published
2024-10-18
DOI
https://doi.org/10.3390/fractalfract8100607
Citations
4
Primary Topic
Advanced Control Systems Design
Type
article
Field-Weighted Citation Impact
1.31
Controls
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article

A Novel Fractional High-Order Sliding Mode Control for Enhanced Bioreactor Performance

Jesús A. Medrano-Hermosillo, R. Castro‐Linares, Víctor González-Huitrón, Pablo Antonio López Pérez et al.
4 citations
Fractal and Fractional
Advanced Control Systems Design
1.31
article

A Novel Fractional High-Order Sliding Mode Control for Enhanced Bioreactor Performance

Jesús A. Medrano-Hermosillo, R. Castro‐Linares, Víctor González-Huitrón, Pablo Antonio López Pérez, Jorge Said Cervantes‐Rojas, Abraham Efraím Rodriguez-Mata
article en
4 citations

Abstract

This research introduces a fractional high-order sliding mode control (FHOSMC) method that utilises an inverse integral fractional order, 0<β<1, as the high order on the FHOSMC reaching law, exhibiting a novel contribution in the related field of study. The application of the proposed approach into a bioreactor system via diffeomorphism operations demonstrates a notable improvement in the management of the bioreactor dynamics versus classic controllers. The numerical findings highlight an improved precision in tracking reference signals and an enhanced plant stability compared to proportional–integral–derivative (PID) controller implementations within challenging disturbance scenarios. The FHOSMC effectively maintains the biomass concentration at desired levels, reducing the wear of the system as well as implementation expenses. Furthermore, the theoretical analysis of the convergence within time indicates substantial potential for further enhancements. Subsequent studies might focus on extending this control approach to bioreactor systems that integrate sensor technologies and the formulation of adaptive algorithms for real-time adjustments of β-type fractional-orders.

Fractal and FractionalVol. 8(10)
Universidad Autónoma del Estado de Hidalgo (MX), Instituto Tecnológico de Querétaro (MX), Tecnológico Nacional de México (MX), Instituto Politécnico Nacional (MX), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (MX), Tecnológico de Monterrey (MX)
Openalex Percentile: Top 19%
Advanced Control Systems Design
1.31
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A Novel Fractional High-Order Sliding Mode Control for Enhanced Bioreactor Performance — Jesús A. Medrano-Hermosillo, R. Castro‐Linares, et al. · Fractal and Fractional (2024) | TGRS Research Map | TGRS