Extended Kalman Filter for Investigation of Inhomogeneous Dynamics in Industrial Bioreactors
نویسندگان
چکیده
Abstract: A stepwise software sensor (SS) based on extended Kalman filter (EKF) is proposed. For monitoring scheme derivation, two methodologies concerning SS with a cascade structure and a novel formalization of kinetics are used. The Kalman’s filtering approach is applied for state and parameter estimation under assumption that the dry cell weight concentration is measured on-line only. The estimation algorithm is demonstrated using experimental data of fed-batch cultivation of a non-sporulating B. subtilis mutant realized in two compartment reactor as scale-down process simulator. The measurements obtained by new EKF-SS could improve the process monitoring and studying process dynamics.
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