Catálogo de publicaciones - tesis
Título de Acceso Abierto
Identificación y control predictivo
Germán Andrés Bustos Jacinto Luis Marchetti Juan Carlos Gómez Diego Feroldi José Luis Figueroa Alejandro Hernán González
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Resumen/Descripción – provisto por el repositorio digital
Model-based predictive control (MPC) has become a technique control widely used today because of its ability to handle multivariable systems (MIMO) and restrictions. This technique makes use of models of the system to be controlled, so that the controller performance depends heavily on the accuracy of it. In the area of process control, the part that is dedicated to proposing methods for obtaining models is called, in general, system identification. In the specific framework of MPC, system identifacation has a special significance: on the one hand, as said, it is imperative to have accurate and updated models because the control technique bases its performance on the precision of these; on the other, the processes usually controlled by MPC can not be identified each time a new model is desired. An identification technique - independent of the control system to be used - that has proven to be an efficient alternative compared to classical identification methods, such as the prediction error method (PEM), is the subspace identification method (SID). This technique appears as promising in the framework of MPC, since it allows obtaining models in state space, multivariables, in a simple and direct way. For this reason, the objective of this Thesis is the study and development of identification methods that give answers to the typical problems of the implementation of MPC.Palabras clave – provistas por el repositorio digital
Predictive control; Closed loop identification; Persistent excitation; Polymerization reactor; Steady-state gains; Multivariable estimator; Control predictivo; Identificación en lazo cerrado; Excitación persistente; Reactor de polimerización; Ganancias en estado estacionario; Estimador multivariable
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No requiere | 2014 | Biblioteca Virtual de la Universidad Nacional del Litoral (SNRD) |
|
Información
Tipo de recurso:
tesis
Idiomas de la publicación
- español castellano
País de edición
Argentina
Fecha de publicación
2014-12-16
