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Controlador de aceleração baseado em rede neural para compressor
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ISBN10: 6208070686
ISBN13: 9786208070687
Publisher: Edicoes Nosso Conhecimento
Published: Sep 10 2024
Pages: 56
Weight: 0.21
Height: 0.13 Width: 6.00 Depth: 9.00
Language: Portuguese
ISBN13: 9786208070687
Publisher: Edicoes Nosso Conhecimento
Published: Sep 10 2024
Pages: 56
Weight: 0.21
Height: 0.13 Width: 6.00 Depth: 9.00
Language: Portuguese
O compressor centrÃfugo é utilizado em várias indústrias, incluindo as instalações petrolÃferas, aeroespaciais e de gás, para aumentar a pressão e a produção de petróleo. O objetivo principal é modelar o compressor centrÃfugo com o mecanismo de controlo anti-surto (ASC) utilizando redes neuronais para evitar problemas de surto e melhorar as métricas de desempenho. Diferentes controladores, como o controlador PID, seguido do controlador lógico Fuzzy (FLC) e do controlador Neuro-fuzzy (NFC), são incorporados no mecanismo de controlo anti-surto (ASC) para o sistema de reciclagem do compressor, a fim de realizar a comparação do desempenho. A modelação do CRS com o mecanismo ASC é realizada utilizando o ambiente MATLAB Simulink. Os resultados da simulação, como diferentes caudais, pressões de aspiração e plenum, velocidade e mapas do compressor, são realizados em pormenor para todos os modelos de controladores. As respostas de erro das métricas de desempenho são analisadas em pormenor para o CRS com mecanismo ASC utilizando diferentes controladores. Com base na resposta de saÃda do NNPC no mecanismo ASC do sistema CRS, a posição OP é adjacente à linha de controlo de sobretensão (SCL).
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