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Brenda Sánchez-Nextle Tecnológico Nacional de México - Instituto Tecnológico de Orizaba
José P. Rodríguez-Jarquín Tecnológico Nacional de México - Instituto Tecnológico de Orizaba
Ofelia Landeta-Escamilla Tecnológico Nacional de México - Instituto Tecnológico de Orizaba
Albino Martínez-Sibaja Albino Tecnológico Nacional de México - Instituto Tecnológico de Orizaba
Rubén Posada-Gómez Tecnológico Nacional de México – CRODE Orizaba

Keywords

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Resumen

Objective: To design, tune, and comparatively evaluate four model-free sliding mode control (MF-SMC) strategies to robustly stabilize biohydrogen production in a simulated continuous stirred-tank reactor (CSTR).


Design/methodology/approach: Robust control and optimization techniques are used in this study.


Results: MF-SCM strategies can handle nonlinearities and disturbances.


Limitations on study/implications: The study was conducted in a simulated environment; findings require validation in a physical laboratory-scale bioreactor.


Findings/conclusions: The MF-SMC strategy, tuned via genetic algorithms, is a viable and robust tool for controlling biohydrogen production, effectively handling nonlinearities and disturbances.Sliding mode control, biohydrogen production, CSTR, genetic algorithm, robust control.

Abstract | EARLY ACCESS 10 Downloads

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