Identificacion de un sistema de separacion bifasica en una estacion de recoleccion de crudo a traves de tecnicas de inteligencia artificial Identification of a two phase separator in a crude gathering station through artificial intelligence techniques
This paper deals with the modeling of a two phases separator system that forms part of the initial stage of oil collection through identification techniques based on artificial intelligence. Besides to the system identification done by two different techniques, the model obtained is used to develop the tuning of a control loop which are part the model (representing the system) and the Fuzzy controller