Dissertações

URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/174

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    Controle de Climatização Usando Controlador PID Ajustável com Uso da Lógica Fuzzy
    (Instituto de Tecnologia, 2018) CAVALCANTE, Caio César Paulino; AZEVEDO, Manoel Socorro Santos
    The objective of this article is to present and evaluate a hybrid controller design that uses Fuzzy logic applied to a PID controller for HVAC systems. Simulations using Simulink, Matlab, Sketch Up, and Energy Plus software showed energy savings in air conditioning, which accounts for a significant portion of electricity consumption in buildings.
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    Método de Sintonia de Controlador PID de um Sistema de Carregamento de GLP
    (Universidade Federal do Pará, 2018) CALDERÓN JÚNIOR, Nibson Müller; NASCIMENTO, Manoel Henrique Reis
    PID controllers are increasingly present in various industrial processes. However, many control loops present tuning failures. This study proposes a methodology for modeling and analyzing industrial plant control systems based on real data, aiming to improve efficiency and optimize plant parameters. The tuning of the PID controller parameters was performed by identifying the dynamic model of the flow control of the LPG loading pump in a propane vessel loading terminal. The plant transfer function was obtained using the Process Reaction Curve method, applying a step disturbance to the manipulated variable (pump rotation). Simulations were conducted using the MATLAB/SIMULINK platform to ensure controller performance, with tuning adjustments made via MATLAB/PID Tuner. The results demonstrated that the adjusted PID controller successfully maintained the controlled variable at predetermined values, optimizing system performance.