Controle adaptativo tipo gain scheduling aplicado ao controle de nível de vaso separador de petróleo e gás natural

• Ano de defesa: 2020
• Autor(a) principal: Medeiros, Márcio Lindemberg Bezerra de
• Orientador(a): Oliveira Júnior, Antônio Martins de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Programa de Pós-Graduação: Pós-Graduação em Engenharia Química
• Palavras-chave em Português: Engenharia química; Modelagem; Gases; Petróleo; Controle de nível adaptativo; Separador de petróleo e gás
• Palavras-chave em Inglês: Modeling; Adaptive level control; Oil and gas separator
• Área do conhecimento CNPq: ENGENHARIAS::ENGENHARIA QUIMICA
• Link de acesso: https://ri.ufs.br/jspui/handle/riufs/17804

Concepts of modeling and simulation applied to level control of oil and gas separators in production facilities forms a very important tool because makes possible to perform tests that probably could not be viable due to operation and safety constraints. Asides the level dynamics can be well understood regarding the physical model, there will always be non-linearities to approach using a system identification procedure, requiring reasonable care on linear model identification. In order to assure a desired control performance, the adaptive control strategy has been proposed for level control for an oil and gas separator using the Gain Scheduling Controller (GSC) technique. Based on a first order process without time delay, the static gain and time period were determined for each point inside the operational space range of the equipment and by Internal Model Control (IMC), the tuning matrix found for a Proportional Integral (PI) controller implemented in a real commercial PID controller using polynomial interpolation methodology. The horizontal separator was simulated using MATLAB/SIMULINK® and data from a real separator vessel were used to identify and validate the proposed process modeling in attempt to test an adaptive control strategy for practical applications. Once the GSC was implemented, simulations were performed over the non-linear system and results have shown better performance indexes for GSC while compared to the standard PI controller for both servo and regulatory problems with reductions up to 17,30% for IAE, 41,67% for ISE, 16,38% for ITAE, 41,32% for ITSE and 33,68% for Control Effort (CE).