CLOSED-LOOP DATA RECONCILIATION FOR THE CONTROL OF A BINARY DISTILLATION COLUMN

Autor:	Shuanghua Bai, Jules Thibault, D. D. McLean
Rok vydání:	2005
Předmět:	Set (abstract data type) Noise Process modeling Control theory Computer science law General Chemical Engineering Process (computing) Process control General Chemistry Filter (signal processing) Distillation law.invention
Zdroj:	Chemical Engineering Communications. 192:1444-1467
ISSN:	1563-5201 0098-6445
DOI:	10.1080/009864490895990
Popis:	Data reconciliation is a procedure that makes use of process models along with process measurements to give more precise and consistent estimates for process variables. Data reconciliation has been traditionally used to provide a more representative set of data to calculate steady-state inventories and process yields. For dynamic systems, the use of data reconciliation is relatively nascent. This article examines the potential use of data reconciliation in closed-loop control as a filter to attenuate the noise in measurements of the controlled variables so that the controllers can access more accurate sets of data. Data reconciliation filters were implemented in simulations of a PID control system for a binary distillation column. Results showed that data reconciliation could efficiently reduce the propagation of measurement noise in control loops, so that the overall performance of the controller is enhanced.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fe9cdcf2477af46f762c76c466756336 https://doi.org/10.1080/009864490895990 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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