An Advanced Control Strategy for the Evaporation Section of An Integrated First- and Second-Generation Ethanol Sugarcane Biorefinery
| Autor: | E. Emori, M. A. D. S. S. Ravagnani, C. B. B. Costa |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Chemical and Biochemical Engineering Quarterly, Vol 37, Iss 1, Pp 17-32 (2023) |
| Druh dokumentu: | article |
| ISSN: | 0352-9568 1846-5153 |
| DOI: | 10.15255/CABEQ.2022.2048 |
| Popis: | The sugarcane crushing stage is one of the most important technologies being developed at the moment. In this paper, the control of the multiple-stage evaporation system was addressed, as it is a crucial stage in the first- and second-generation ethanol production from sugarcane. A neural network model was proposed based on a dynamic phenomenological model developed in EMSO (Environment for Modeling, Simulation and Optimization). The phenomenological model was used to build a neural network prediction model for an MPC (Model Predictive Control) scheme using a DMC (Dynamic Matrix Control) algorithm. Simulations were carried out to evaluate the performance for tracking the set-point. Also, disturbance rejection tests were performed, considering different step disturbances. The analysis demonstrated that the MPC scheme performed well in the tests and showed superiority when compared to classical PID controllers. |
| Databáze: | Directory of Open Access Journals |
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