Banca de QUALIFICAÇÃO: THIAGO DE ARAUJO BRITO

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : THIAGO DE ARAUJO BRITO
DATE: 26/07/2022
TIME: 09:00
LOCAL: Sala virtual Google Meet
TITLE:

Control of water level and pressure of a drum boiler through the use of artificial intelligence: application of a fuzzy controller optimized by a genetic algorithm.

KEY WORDS:

Boiler, Control, Artificial Intelligence, Fuzzy, Genetic Algorithm.

PAGES: 77
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUBÁREA: Eletrônica Industrial, Sistemas e Controles Eletrônicos
SPECIALTY: Automação Eletrônica de Processos Elétricos e Industriais
SUMMARY:

Faced with the constant technological evolutions that modern society experiences, industries have evolved more and more in search of greater efficiency and reliability of their processes to meet the demand of the increasingly competitive market. The search for new optimizations of industrial activities has fueled the interest in the development of research focused on this area. Despite the various technological developments that industries constantly undergo, steam remains present in their processes since the first industrial revolution, being used to perform movements in machines, which revolutionized the production process of the time. Nowadays its presence remains vast in different types of industry, being widely used for heating and electricity generation. The equipment used for steam generation is the boiler. In the process of generating steam in a boiler, there are two variables of great importance for control, which are the water level and the steam pressure in the drum. The control of these variables guarantees the operational safety of the machine and compliance with the process parameters through the required steam pressure. Thus, the boiler control problem is of great interest in academia and industry. In order to control the variables reported, it is basically necessary to act on the water supply and saturated steam exit valves of the drum. Based on this, this work aims to control the water level and pressure in the drum of a water-tube boiler through artificial intelligence in order to avoid unwanted variations in level and pressure when going through load variations. For this, fuzzy controllers optimized by genetic algorithm are used. The development of the work was initially carried out by the dynamic modeling of a drum-boiler, followed by the modeling of the control valves of feed water and steam output of the drum and definition of the actuators used in the valves. Then the model was implemented in the softwares Simulink and Matlab and validated by evaluating the response of the output signal when performing variations in the input signals. After validation, the fuzzy controllers were implemented using triangular membership functions. With the entire system implemented, an initial tuning was performed empirically to define the parameters of the fuzzy controllers. Finally, the controllers were optimized through the genetic algorithm and tests were performed for the model with load variations from medium to high and their results evaluated.

COMMITTEE MEMBERS:
Presidente - 1451883 - FABIO MENEGHETTI UGULINO DE ARAUJO
Externo ao Programa - 350693 - ANDRE LAURINDO MAITELLI - UFRNExterno à Instituição - OSCAR GABRIEL FILHO - PETROBRAS