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.

How to Use Simplified Dynamics in Model Predictive Control of Superfractionators

PANNOCCHIA, GABRIELE;BRAMBILLA, ALESSANDRO
2005-01-01

Abstract

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.
2005
Pannocchia, Gabriele; Brambilla, Alessandro
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/206220
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 8
  • ???jsp.display-item.citation.isi??? 6
social impact