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Quantitative analysis of influences of model plant mismatch on control loop behavior / Hong Wang in Industrial & engineering chemistry research, Vol. 51 N° 49 (Décembre 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 49 (Décembre 2012) . - pp. 15997-16006 Titre : Quantitative analysis of influences of model plant mismatch on control loop behavior Type de document : texte imprimé Auteurs : Hong Wang, Auteur ; Tore Hagglund, Auteur ; Zhihuan Song, Auteur Année de publication : 2013 Article en page(s) : pp. 15997-16006 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Modeling  Quantitative  analysis Résumé : There is normally a mismatch between the current model of the plant and the model that was used for design. This mismatch is normally acceptable when the controller is designed. But if the process dynamics changes, the mismatch may be so large that the control behavior degrades and may be unacceptable. This paper evaluates the influences of model plant mismatch on the control loop behavior quantitatively. A novel method is developed to calculate proposed performance and robustness indices based on the controller and the mismatch. Priorities for maintenance can be made using these indices. Case studies demonstrate the efficacy of the methodology. In addition, the effects of different process dynamics are studied by general analysis. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26732125 [article] Quantitative analysis of influences of model plant mismatch on control loop behavior [texte imprimé] / Hong Wang, Auteur ; Tore Hagglund, Auteur ; Zhihuan Song, Auteur . - 2013 . - pp. 15997-16006. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 49 (Décembre 2012) . - pp. 15997-16006 Mots-clés : Modeling  Quantitative  analysis Résumé : There is normally a mismatch between the current model of the plant and the model that was used for design. This mismatch is normally acceptable when the controller is designed. But if the process dynamics changes, the mismatch may be so large that the control behavior degrades and may be unacceptable. This paper evaluates the influences of model plant mismatch on the control loop behavior quantitatively. A novel method is developed to calculate proposed performance and robustness indices based on the controller and the mismatch. Priorities for maintenance can be made using these indices. Case studies demonstrate the efficacy of the methodology. In addition, the effects of different process dynamics are studied by general analysis. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26732125