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Tuning a soft sensor’s bias update term. 1. / Yuri A. W. Shardt in Industrial & engineering chemistry research, Vol. 51 N° 13 (Avril 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 13 (Avril 2012) . - pp. 4958–4967 Titre : Tuning a soft sensor’s bias update term. 1. : The open - loop case Type de document : texte imprimé Auteurs : Yuri A. W. Shardt, Auteur ; Biao Huang, Auteur Année de publication : 2012 Article en page(s) : pp. 4958–4967 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Process  variables  Measuring  Sensor  systems Résumé : The difficulty in measuring certain types of process variables rapidly has encouraged the use of soft sensors, which can determine the values of difficult to measure process variables based on easily available secondary process variables. A bias update term that allows the system to take into consideration disturbances in the system is often included in such soft sensor systems. The first part of this two-part series considers the bias update for the open-loop situation, including the ideal case, the case where there is measurement delay, the case with multirate sampling, and the case where there is a combination of measurement delay and multirate sampling. Proposed tuning rules are provided for all cases in order to obtain optimal open-loop tracking of the quality variable, especially in the presence of slow or drifting disturbances. Simulation and experimental validation of the results is presented. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie201456z [article] Tuning a soft sensor’s bias update term. 1. : The open - loop case [texte imprimé] / Yuri A. W. Shardt, Auteur ; Biao Huang, Auteur . - 2012 . - pp. 4958–4967. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 13 (Avril 2012) . - pp. 4958–4967 Mots-clés : Process  variables  Measuring  Sensor  systems Résumé : The difficulty in measuring certain types of process variables rapidly has encouraged the use of soft sensors, which can determine the values of difficult to measure process variables based on easily available secondary process variables. A bias update term that allows the system to take into consideration disturbances in the system is often included in such soft sensor systems. The first part of this two-part series considers the bias update for the open-loop situation, including the ideal case, the case where there is measurement delay, the case with multirate sampling, and the case where there is a combination of measurement delay and multirate sampling. Proposed tuning rules are provided for all cases in order to obtain optimal open-loop tracking of the quality variable, especially in the presence of slow or drifting disturbances. Simulation and experimental validation of the results is presented. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie201456z

Tuning a soft sensor’s bias update term. 2. / Yuri A. W. Shardt in Industrial & engineering chemistry research, Vol. 51 N° 13 (Avril 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 13 (Avril 2012) . - pp. 4968–4981 Titre : Tuning a soft sensor’s bias update term. 2. : The closed - loop case Type de document : texte imprimé Auteurs : Yuri A. W. Shardt, Auteur ; Biao Huang, Auteur Année de publication : 2012 Article en page(s) : pp. 4968–4981 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Process  variables  measuring  Sampling Résumé : The difficulty in measuring certain types of process variables rapidly has encouraged the use of soft sensors, which can determine the values of difficult to measure process variables based on easily available secondary process variables. A bias update term that allows the system to take into consideration disturbances in the system is often included in such soft sensor systems. In the second part of this two-part series, an investigation of the bias update term in closed-loop operation in the presence of a drifting (integrating) disturbance for the ideal case, the case where there is measurement delay, the case with multirate sampling, and the case where there is a combination of measurement delay and multirate sampling is considered. Proposed tuning rules are provided for all cases in order to obtain optimal closed-loop tracking of the controller. Simulation and experimental validation of the results is also presented. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie2014586 [article] Tuning a soft sensor’s bias update term. 2. : The closed - loop case [texte imprimé] / Yuri A. W. Shardt, Auteur ; Biao Huang, Auteur . - 2012 . - pp. 4968–4981. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 13 (Avril 2012) . - pp. 4968–4981 Mots-clés : Process  variables  measuring  Sampling Résumé : The difficulty in measuring certain types of process variables rapidly has encouraged the use of soft sensors, which can determine the values of difficult to measure process variables based on easily available secondary process variables. A bias update term that allows the system to take into consideration disturbances in the system is often included in such soft sensor systems. In the second part of this two-part series, an investigation of the bias update term in closed-loop operation in the presence of a drifting (integrating) disturbance for the ideal case, the case where there is measurement delay, the case with multirate sampling, and the case where there is a combination of measurement delay and multirate sampling is considered. Proposed tuning rules are provided for all cases in order to obtain optimal closed-loop tracking of the controller. Simulation and experimental validation of the results is also presented. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie2014586