Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/26061
Type: Artigo de periódico
Title: STATE ESTIMATION AND PARAMETER IDENTIFICATION IN A FED-BATCH PENICILLIN PRODUCTION PROCESS
Author: RODRIGUES, J.A.D.
ZAIAT, M.
MACIEL FILHO, R.
Abstract: This work presents an application of a recursive estimator of states and parameters in a fed-batch penicillin production process based on the use of the extended Kalman filter. The estimated state variables were the cell, substrate, product and dissolved oxygen concentrations, the fermenter volume and the oxygen transfer coefficient. A simplified model of this process was used for the filter, and the actual values for product amount and concentration of dissolved oxygen with independent random Gaussian white noise were obtained using a deterministic and nonstructured mathematical model. The influence of the filter parameters, initial deviations and presence of noise on the observed variables was analyzed. In addition, estimator performance was verified when the parameters and the structure of the process model were changed. The extended Kalman filter implemented was found to be suitable to predict the states of the system and the model parameters. Therefore, it can be used for optimization and control purposes in a fermentative process which requires some state variables that are measured with a long delay time or unmeasured parameters.
Subject: extended Kalman filter
fed-batch bioreactor
penicillin process
Editor: Brazilian Society of Chemical Engineering
Rights: aberto
Identifier DOI: 10.1590/S0104-66321999000100005
Address: http://dx.doi.org/10.1590/S0104-66321999000100005
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66321999000100005
Date Issue: 1-Mar-1999
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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