Sistema de control óptimo para la regulación de presión del cabezal de cloro de las cámaras de celdas
Control is crucial in industrial processes where physical variables such as pressure, temperature, humidity and flow, among others, must be parameterized according to process conditions in order to improve and optimize them. Most industrial processes are multivariable processes and they require the...
| Autor Principal: | Cañizalez, Ruth |
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| Otros Autores: | De Pool, Sergio, Fabelo, Ricardo |
| Formato: | info:eu-repo/semantics/article |
| Idioma: | spa |
| Publicado: |
Editorial bonaventuriana
2018
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| Acceso en línea: |
Cañizalez, R., De Pool, S., & Fabelo, R. (2014). Sistema de control óptimo para la regulación de presión del cabezal de cloro de las cámaras de celdas. Revista de Ingenierías USBMed, 5(1), 5–12. https://doi.org/10.21500/20275846.296 |
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| Sumario: |
Control is crucial in industrial processes where physical variables such as pressure, temperature, humidity and flow, among others, must be parameterized according to process conditions in order to improve and optimize them. Most industrial processes are multivariable processes and they require the analysis of the dynamic system by manipulating its inputs in order to meet temperature and system requirements at each time interval. The purpose of this research is focused on the design of a system for regulating the head pressure of chlorine in the chambers of cells (Chlorine-Alkali Plant in Pequiven) using as technique the optimal control. The methodology used for this research was descriptive-applied, non-experimental, cross-sectional, on-field and descriptive design. The analysis unit is focused on producing chlorine by regulating the pressure of chlorine head 30" FRP chamber of cells, based on collecting finite data in real time directly from the process. Quantitative and qualitative data collection techniques were based on the different programs used for developing mathematical models and parameters for optimal control. The result is the effective demonstration of optimal control within the proposed research |
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