| Texto completo | |
| Autor(es): |
Eyng, Eduardo
[1]
;
da Silva, Flavio Vasconcelos
[1]
;
Palu, Fernando
[2]
;
Frattini Fileti, Ana Maria
[1]
Número total de Autores: 4
|
| Afiliação do(s) autor(es): | [1] Univ Estadual Campinas, Fac Engn Quim, BR-13083970 Campinas, SP - Brazil
[2] Univ Estadual Oeste do Parana, BR-85903000 Toledo, PR - Brazil
Número total de Afiliações: 2
|
| Tipo de documento: | Artigo Científico |
| Fonte: | Brazilian Archives of Biology and Technology; v. 52, n. 4, p. 961-972, JUL-AUG 2009. |
| Citações Web of Science: | 1 |
| 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. (AU) | |
| Processo FAPESP: | 05/02536-9 - Controle via redes neurais de colunas de absorção do processo de produção de etanol por fermentação |
| Beneficiário: | Eduardo Eyng |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |