Academic Journal
An Advanced Control Strategy for the Evaporation Section of An Integrated First- and Second-Generation Ethanol Sugarcane Biorefinery
| العنوان: | An Advanced Control Strategy for the Evaporation Section of An Integrated First- and Second-Generation Ethanol Sugarcane Biorefinery |
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| المؤلفون: | E. Emori, M. A. D. S. S. Ravagnani, C. B. B. Costa |
| المصدر: | Chemical and Biochemical Engineering Quarterly, Vol 37, Iss 1, Pp 17-32 (2023) |
| بيانات النشر: | Croatian Society of Chemical Engineers, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Chemical engineering |
| مصطلحات موضوعية: | model predictive control, neural network, multiple-effect evaporation, emso, second-generation ethanol, dynamic matrix control, Chemical engineering, TP155-156 |
| الوصف: | 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 0352-9568 1846-5153 |
| Relation: | http://silverstripe.fkit.hr/cabeq/assets/Uploads/02-2-2023.pdf; https://doaj.org/toc/0352-9568; https://doaj.org/toc/1846-5153 |
| DOI: | 10.15255/CABEQ.2022.2048 |
| URL الوصول: | https://doaj.org/article/c886bd5890b049488426b426932e1283 |
| رقم الانضمام: | edsdoj.886bd5890b049488426b426932e1283 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 03529568 18465153 |
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| DOI: | 10.15255/CABEQ.2022.2048 |