A Soft Sensor for Biomass in a Batch Process with Delayed Measurements
Cargando...
Archivos
Fecha
2016-10
Autores
Isaza, Jhon A.
Sánchez-Torres, Juan D.
Jiménez-Rodríguez, Esteban
Botero-Castro, Héctor
Título de la revista
ISSN de la revista
Título del volumen
Editor
International Federation of Automatic Control
Resumen
Descripción
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.
Palabras clave
State observer, Chemical process, Delayed measurements
Citación
Isaza, J.A.; Sánchez-Torres, J.D.; Jiménez-Rodrıguez, E. and Botero-Castro, H. "A Soft Sensor for Biomass in a Batch Process with Delayed Measurements". XVII Latin American Conference of Automatic Control, IFAC, Medellín, Colombia, 2016, pp. 334--339.