Abstract
Traditional plant process control systems are limited in their ability to satisfy real-time constraints. Difficulties arise: in the implementation of sequential functions requiring symbolic, as well as, numerical calculations; in the establishment of an efficient plant-system linkage; and in the inability to render inference asynchronous with respect to plant operator-system dialogue (data acquisition by sensors). An intelligent real-time system must be able to overcome such difficulties without jeopardizing its own efficiency. This paper limits itself to a description of symbolic modelling techniques that were applied in the development of a control and diagnostics system for a refuse derived fuel gasification plant. The innovative aspect of the adopted approach was the development of a system able to integrate symbolic with numerical calculations, and to optimize, case by case, the required resources.
Citation Formats
Iannucci, R.
Real-time process control modelling applied to gasification plant; Tecniche di modellazione simbolica per sistemi di controllo processo real-time: Applicazione in un impianto di gassificazione.
Italy: N. p.,
1991.
Web.
Iannucci, R.
Real-time process control modelling applied to gasification plant; Tecniche di modellazione simbolica per sistemi di controllo processo real-time: Applicazione in un impianto di gassificazione.
Italy.
Iannucci, R.
1991.
"Real-time process control modelling applied to gasification plant; Tecniche di modellazione simbolica per sistemi di controllo processo real-time: Applicazione in un impianto di gassificazione."
Italy.
@misc{etde_10131712,
title = {Real-time process control modelling applied to gasification plant; Tecniche di modellazione simbolica per sistemi di controllo processo real-time: Applicazione in un impianto di gassificazione}
author = {Iannucci, R}
abstractNote = {Traditional plant process control systems are limited in their ability to satisfy real-time constraints. Difficulties arise: in the implementation of sequential functions requiring symbolic, as well as, numerical calculations; in the establishment of an efficient plant-system linkage; and in the inability to render inference asynchronous with respect to plant operator-system dialogue (data acquisition by sensors). An intelligent real-time system must be able to overcome such difficulties without jeopardizing its own efficiency. This paper limits itself to a description of symbolic modelling techniques that were applied in the development of a control and diagnostics system for a refuse derived fuel gasification plant. The innovative aspect of the adopted approach was the development of a system able to integrate symbolic with numerical calculations, and to optimize, case by case, the required resources.}
place = {Italy}
year = {1991}
month = {Dec}
}
title = {Real-time process control modelling applied to gasification plant; Tecniche di modellazione simbolica per sistemi di controllo processo real-time: Applicazione in un impianto di gassificazione}
author = {Iannucci, R}
abstractNote = {Traditional plant process control systems are limited in their ability to satisfy real-time constraints. Difficulties arise: in the implementation of sequential functions requiring symbolic, as well as, numerical calculations; in the establishment of an efficient plant-system linkage; and in the inability to render inference asynchronous with respect to plant operator-system dialogue (data acquisition by sensors). An intelligent real-time system must be able to overcome such difficulties without jeopardizing its own efficiency. This paper limits itself to a description of symbolic modelling techniques that were applied in the development of a control and diagnostics system for a refuse derived fuel gasification plant. The innovative aspect of the adopted approach was the development of a system able to integrate symbolic with numerical calculations, and to optimize, case by case, the required resources.}
place = {Italy}
year = {1991}
month = {Dec}
}