This work presents a new methodology for tuning industrial predictive controllers, with the aim to fit the parameters of the (associated) stationary optimization problem - which decides the optimal economic operation. A step by step procedure to find the right tuning values are provided, and a case study taken from a real natural gas processing unit is presented to illustrate the advantages of the proposed approach.
(2016). Tuning Methodology for Industrial Predictive Controllers Applied to Natural Gas Processing Unit . Retrieved from http://hdl.handle.net/10446/169438
Tuning Methodology for Industrial Predictive Controllers Applied to Natural Gas Processing Unit
Ferramosca, Antonio;
2016-01-01
Abstract
This work presents a new methodology for tuning industrial predictive controllers, with the aim to fit the parameters of the (associated) stationary optimization problem - which decides the optimal economic operation. A step by step procedure to find the right tuning values are provided, and a case study taken from a real natural gas processing unit is presented to illustrate the advantages of the proposed approach.File allegato/i alla scheda:
| File | Dimensione del file | Formato | |
|---|---|---|---|
|
Godoy_MSC2016.pdf
Solo gestori di archivio
Versione:
publisher's version - versione editoriale
Licenza:
Licenza default Aisberg
Dimensione del file
380.55 kB
Formato
Adobe PDF
|
380.55 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo
