Implementación de un control predictivo generalizado (GPC) de la variable caudal, en la plataforma de procesos continuos, utilizando un Pac.
The following project intends to use one of the modern control techniques that have allowed marching in accordance with the requirements that arise every day, according to the evolution of the market and the strict requirements set by regulations for the compliance with high quality standards. Fo...
| Autor Principal: | Abad Guzmán, Michael Ángelo |
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| Otros Autores: | Flores Paillacho, Cristian Marcelo |
| Formato: | bachelorThesis |
| Idioma: | spa |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: |
http://dspace.ups.edu.ec/handle/123456789/15842 |
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| Sumario: |
The following project intends to use one of the modern control techniques that have
allowed marching in accordance with the requirements that arise every day,
according to the evolution of the market and the strict requirements set by
regulations for the compliance with high quality standards. For this reason, it was
necessary to evolve new controllers such as those who use predictive algorithms
based on mathematical models of the system to controlled, as close as possible to
their reality, with an adequate estimate of the delay introduced into the system. In
the project, the implementation of a Generalized Predictive Control of the caudal
variable was carried out in the Control Theory Laboratory of the Salesian
Polytechnic University, Quito Headquarters, where the continuous process training
platform is located, which allows the practical development of industrial processes
at an educational level, by controlling three variables: level, temperature and flow.
This module has actuators and sensors, in which it is necessary to perform
calibration and operation tests to develop any type of control. The mathematical
model of the flow process of the platform was determined, establishing the
communication between the LabVIEW software and the programmable automation
controller. Controller data was obtain by varying the parameters of λ, control
horizon and prediction; these allow analyzing the behavior of the flow process. The
analysis of the data were carried out through performance indices and through the
Wilcoxon test |
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