2006
DOI: 10.1002/aic.10996
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State estimation and error diagnosis in industrial fed‐batch yeast fermentation

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Cited by 12 publications
(12 citation statements)
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“…The fermentor with a 25 m 3 volume, is equipped with external half coils for cooling. The airflow rate is measured by a vortex flowmeter (EMCO, V-Bar 700) and molasses and ammonia flow rates are measured by electromagnetic flow meters (Krohne, IFM 090) [33]. Biomass concentration is not measured on-line, therefore it is determined by analyses in laboratory.…”
Section: Methodsmentioning
confidence: 99%
“…The fermentor with a 25 m 3 volume, is equipped with external half coils for cooling. The airflow rate is measured by a vortex flowmeter (EMCO, V-Bar 700) and molasses and ammonia flow rates are measured by electromagnetic flow meters (Krohne, IFM 090) [33]. Biomass concentration is not measured on-line, therefore it is determined by analyses in laboratory.…”
Section: Methodsmentioning
confidence: 99%
“…The details of estimation of biomass concentration and specific growth rates can be found in the work of Hocalar et al [28]. The estimated biomass concentrations were then applied to the control model in order to produce an appropriate controller law.…”
Section: Methodsmentioning
confidence: 99%
“…The derivation of balanced/reconciliated conversion rates is performed in every programming cycle (15 min). Finally, more accurate biomass concentration values are obtained by using the reconciliated/balanced conversion rates [28]. The specific growth rate is calculated from the moving average of successive biomass estimations.…”
Section: Elementmentioning
confidence: 99%
“…These methods are used in different model based state estimation and control studies individually in our group at different times [17,[33][34][35][36]. The proposed methods are: (1) estimation based on kinetic model of overflow metabolism; (2) metabolic black-box model based estimation; (3) asymptotic observer based estimation; (4) artificial neural network based estimation and (5) differential evolution based estimation.…”
Section: Introductionmentioning
confidence: 99%