Lógica Fuzzy para Controle de pH em um Processo Petrolífero
This work proposes the design, the performance evaluation and a methodology for tuning the initial MFs parameters of output of a function based Takagi-Sugeno-Kang Fuzzy-PI controller to neutralize the pH in a stirred-tank reactor. The controller is designed to perform pH neutralization of industrial...
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| Formato: | Dissertação |
| Idioma: | por |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/15361 |
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| Resumo: | This work proposes the design, the performance evaluation and a methodology for tuning the
initial MFs parameters of output of a function based Takagi-Sugeno-Kang Fuzzy-PI controller
to neutralize the pH in a stirred-tank reactor. The controller is designed to perform pH
neutralization of industrial plants, mainly in units found in oil refineries where it is strongly
required to mitigate uncertainties and nonlinearities. In addition, it adjusts the changes in pH
regulating process, avoiding or reducing the need for retuning to maintain the desired
performance. Based on the Hammerstein model, the system emulates a real plant that fits the
changes in pH neutralization process of avoiding or reducing the need to retune. The
controller performance is evaluated by overshoots, stabilization times, indices Integral of the
Absolute Error (IAE) and Integral of the Absolute Value of the Error-weighted Time (ITAE),
and using a metric developed by that takes into account both the error information and the
control signal. The Fuzzy-PI controller is compared with PI and gain schedule PI controllers
previously used in the testing plant, whose results can be found in the literature. |
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