A Soft Sensor for Biomass in a Batch Process with Delayed Measurements
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Date
2016-10Author
Isaza, Jhon A.
Sánchez-Torres, Juan D.
Jiménez-Rodríguez, Esteban
Botero-Castro, Héctor
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This paper presents a soft sensor to estimate the biomass concentration in a batch bioprocess used in production of δ-endotoxins of Bacillus thuringiensis, subject to delayed measurements. The soft sensor proposed is based on a cascade observer-predictor algorithm. The observer stage is based on a class of second order sliding mode algorithms, allowing a fixed time estimation of the biomass. Additionally, the prediction stage offsets the effect of the delay in measurements. Simulations show the feasibility of the proposed observer.Universidad Nacional de Colombia
CINVESTAV-IPN
ITESO, A.C.