Data/hora: 02/06/2024 19:06:04

Provedor de dados: | 52
País: | Brazil
Título: | Neural network based control of an absorption column in the process of bioethanol production
Autores: | Eyng,Eduardo; Silva,Flávio Vasconcelos da; Palú,Fernando; Fileti,Ana Maria Frattini.
Data: | 2009-08-01
Ano: | 2009
Palavras-chave: | Absorption column; Artificial neural network; Feedforward control.
Resumo: | Gaseous ethanol may be recovered from the effluent gas mixture of the sugar cane fermentation process using a staged absorption column. In the present work, the development of a nonlinear controller, based on a neural network inverse model (ANN controller), was proposed and tested to manipulate the absorbent flow rate in order to control the residual ethanol concentration in the effluent gas phase. Simulation studies were carried out, in which a noise was applied to the ethanol concentration signals from the rigorous model. The ANN controller outperformed the dynamic matrix control (DMC) when step disturbances were imposed to the gas mixture composition. A security device, based on a conventional feedback algorithm, and a digital filter were added to the proposed strategy to improve the system robustness when unforeseen operating and environmental conditions occured. The results demonstrated that ANN controller was a robust and reliable tool to control the absorption column.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132009000400020
Editor: | Instituto de Tecnologia do Paraná - Tecpar
Relação: | 10.1590/S1516-89132009000400020
Formato: | text/html
Fonte: | Brazilian Archives of Biology and Technology  v.52 n.4 2009
Fonte: | info:eu-repo/semantics/openAccess