Sistema de Controle Fuzzy Aplicado ao Ajuste de Pentano no Gás Liquefeito de Petróleo Utilizando um Sensor Virtual Baseado em Rede Neural Artificial

Abstract

: Control techniques based on fuzzy logic have been applied as dynamic setpoint generators for controllers present in the regulatory control layer of industrial plants.This technique is called advanced control and has become widely used. This work describes the development of a fuzzy controller to perform as a dynamic setpoint generator to control the i-pentane molar fraction present in the Liquefied Petroleum Gas. As a hard-to-measure variable, the amount of i-pentane will be estimated by an artificial neural network based sensor. Results have shown that the proposed system is capable of controlling the molar fraction of i-pentane. Based on a real plant located in the city of Guamare - Brazil, A simulated plant was used for testing and validation purposes.