State variables monitoring using a class of nonlinear observer based estimator, applied to continuous bio-system

 

Ricardo Aguilar-López¹, Ricardo Acevedo-Gómez¹, María Isabel Neria González² and Alma Rosa Domínguez-Bocanegra¹

 

¹ Departamento de Biotecnología y Bioingeniería CINVESTAV-IPN, Av. Instituto Politécnico Nacional No. 2508, San Pedro Zacatenco, México, D.F. 07360, MEXICO E-mail.- raguilar@cinvestav.mx Phone.- + 52 55 5747 3800, ext. 4307.

² División de Ingeniería Química y Bioquímica, Tecnológico de Estudios Superiores de Ecatepec, Av. Tecnológico s/n Esq. Av. Carlos Hank González Col. Valle de Anáhuac C.P. 55210, Ecatepec Estado de México.

 

ABSTRACT

In this work, the state estimation of key variables such as biomass and products of a sulfate reducing bacterium is predicted by using only sulfate (substrate) concentration measurements under the assumption of an unknown kinetic term. The process was developed by continuous culture, where the mathematical kinetic model for the biomass, sulfate and sulfide concentrations is presented and tuned using experimental data. The design of the nonlinear state estimator takes into account an adaptive gain. The results of the proposed estimation methodology were generated via numerical simulation; they showed a satisfactory performance.

keywords: robust estimation, bioreactor model, anaerobic biosystem.

 

RESUMEN

En este trabajo se predice la estimación de estados como la biomasa y la concentración de productos de una bacteria sulfato reductora empleando únicamente mediciones de la concentración de sulfato (sustrato) bajo la hipótesis de una cinética de consumo de sulfato desconocida. El proceso fue considerado como un cultivo continuo, donde el modelo cinético correspondiente para las concentraciones de biomasa, sulfato y sulfuro fue corroborado con datos experimentales. El diseño de la metodología de estimación propuesta considera una ganancia adaptable. Los resultados de estimación fueron generados por medio de simulaciones numéricas y muestran un comportamiento satisfactorio.

Palabras clave: Estimación robusta, modelo de un birreactor, bio-sistema anaerobio.

 

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