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...

Full description

Autores:
Cañizalez, Ruth
De Pool, Sergio
Fabelo, Ricardo
Tipo de recurso:
Fecha de publicación:
2014
Institución:
Universidad de San Buenaventura
Repositorio:
Repositorio USB
Idioma:
spa
OAI Identifier:
oai:bibliotecadigital.usb.edu.co:10819/6682
Acceso en línea:
http://hdl.handle.net/10819/6682
Palabra clave:
Control óptimo
Control no lineal
Automation
Optimal control
Nonlinear control
Automatización
Rights
License
Atribución-NoComercial-SinDerivadas 2.5 Colombia
Description
Summary: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