In this paper, issues associated with the application of model predictive control algorithms to the product quality control of superfractionator columns are addressed. Full-order and reduced- order (pseudo-ramp) models are compared in different predictive control algorithms, and the effects of different disturbance models on the closed-loop performance are emphasized. The results show that the reduced-order model, which is easier to identify, can give excellent results when it is used along with an effective disturbance model and can be implemented with a relatively small sampling time. The results also show that the output disturbance model typically used by industrial algorithms, is the source of poor closed-loop performance, and although the input disturbance model represents a better choice, the rotation factor disturbance model used with the reduced model can represent a simple and relatively effective practical alternative.
|Autori:||PANNOCCHIA G; BRAMBILLA A|
|Titolo:||How to Use Simplified Dynamics in Model Predictive Control of Superfractionators|
|Anno del prodotto:||2005|
|Digital Object Identifier (DOI):||10.1021/ie0495832|
|Appare nelle tipologie:||1.1 Articolo in rivista|