Resumen

CEPERO-DIAZ, Ariel Omar  y  GONZALEZ-SANTOS, Ana Isabel. State estimation of a FCCU with Unscented Kalman Filter. Ing. invest. y tecnol. [online]. 2018, vol.19, n.1, pp.11-23. ISSN 2594-0732.  https://doi.org/10.22201/fi.25940732e.2018.19n1.002.

The direct measurement of many variables in industrial processes adds complexity and cost to the system and it doesn’t give good results sometimes. This has motivated the development of state estimators. In this paper is presented an Unscented Kalman Filter (UKF) for estimating different variables in a fluid catalytic cracking unit (FCCU). This estimator is based on a grey box model of the FCCU, also presented in this paper, which combine a complex knowledge model with neural networks.

Palabras llave : state estimators; modeling; simulation; FCCU.

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