Programa de Pós-Graduação em Engenharia Elétrica e de Computação
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Doctoral Thesis Otimização do sistema de supervisão e controle de uma planta de tratamento de resíduos utilizando plasma(Universidade Federal do Rio Grande do Norte, 2013-12-20) Amado, José Alberto Diaz; Salazar, Andrés Ortiz; ; http://lattes.cnpq.br/7865065553087432; ; http://lattes.cnpq.br/4676804219079636; Maitelli, André Laurindo; ; http://lattes.cnpq.br/0477027244297797; Guimarães, Alexandre Magnus Fernandes; ; http://lattes.cnpq.br/4171253034582522; Lock, Alberto Soto; ; http://lattes.cnpq.br/7623349795638505; Dubut, Jean Paul; ; http://lattes.cnpq.br/9714317619016216A major and growing problems faced by modern society is the high production of waste and related effects they produce, such as environmental degradation and pollution of various ecosystems, with direct effects on quality of life. The thermal treatment technologies have been widely used in the treatment of these wastes and thermal plasma is gaining importance in processing blanketing. This work is focused on developing an optimized system of supervision and control applied to a processing plant and petrochemical waste effluents using thermal plasma. The system is basically composed of a inductive plasma torch reactors washing system / exhaust gases and RF power used to generate plasma. The process of supervision and control of the plant is of paramount importance in the development of the ultimate goal. For this reason, various subsidies were created in the search for greater efficiency in the process, generating events, graphics / distribution and storage of data for each subsystem of the plant, process execution, control and 3D visualization of each subsystem of the plant between others. A communication platform between the virtual 3D plant architecture and a real control structure (hardware) was created. The goal is to use the concepts of mixed reality and develop strategies for different types of controls that allow manipulating 3D plant without restrictions and schedules, optimize the actual process. Studies have shown that one of the best ways to implement the control of generation inductively coupled plasma techniques is to use intelligent control, both for their efficiency in the results is low for its implementation, without requiring a specific model. The control strategy using Fuzzy Logic (Fuzzy-PI) was developed and implemented, and the results showed satisfactory condition on response time and viabilityMaster Thesis Projeto e controle de um sistema de aquecimento no Laboratório de Avaliação de Medição em Petróleo(Universidade Federal do Rio Grande do Norte, 2008-09-05) Amado, José Alberto Diaz; Salazar, Andrés Ortiz; Alsina, Pablo Javier; ; http://lattes.cnpq.br/3653597363789712; ; http://lattes.cnpq.br/7865065553087432; ; http://lattes.cnpq.br/4543559234487081; Cardoso, Carlos Alberto Villacorta; ; http://lattes.cnpq.br/1368658416990415; Maitelli, André Laurindo; ; http://lattes.cnpq.br/0477027244297797The Oil Measurement Evaluation Laboratory (LAMP), located in the Federal University of Rio Grande do Norte (UFRN), has as main goal to evaluate flow and BS&W meters, where the simulation of a bigger number of operation variable in field, guarantees a less uncertain evaluation. The objective of this work is to purpose a heating system design and implementation, which will control the temperature safely and efficiently in order to evaluate and measure it. Temperature is one of the variables which influence the flow and BS&W accurate measurement, directly affecting the fluid viscosity and density in the experiment. To project the heating system it is of great importance to take the laboratory requirements, conditions and current restrictions into consideration. Three alternatives were evaluated: heat exchanger, internal resistance and external resistance. After the analyses are made in order to choose the best alternative for the heating system in the laboratory, control strategies were determined for it, PID control methods in combination with fuzzy logic were used. Results showed a better performance with fuzzy logic than with classic PID