Fault tolerant control for a dearomatisation process

Autor: M. Sourander, Mikko Vermasvuori, T. Liikala, Sirkka-Liisa Jämsä-Jounela, D. Sauter
Přispěvatelé: Neste Jacobs Oil, Porvoo, Neste Jacobs Oy, Laboratory of Process Control, Helsinki University of Technology ( TKK ), Centre de Recherche en Automatique de Nancy ( CRAN ), Université Henri Poincaré - Nancy 1 ( UHP ) -Institut National Polytechnique de Lorraine ( INPL ) -Centre National de la Recherche Scientifique ( CNRS ), TKK Helsinki University of Technology (TKK), Centre de Recherche en Automatique de Nancy (CRAN), Université Henri Poincaré - Nancy 1 (UHP)-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS), Department of Biotechnology and Chemical Technology, Aalto-yliopisto, Aalto University
Jazyk: angličtina
Rok vydání: 2009
Předmět:
0209 industrial biotechnology
Engineering
Exploit
Data-based modeling
media_common.quotation_subject
02 engineering and technology
Data-based modelling
Industrial and Manufacturing Engineering
Fault detection and isolation
Data-driven
Online analyser
020901 industrial engineering & automation
020401 chemical engineering
Online analysers
Control theory
[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering
[ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineering
Quality (business)
Model predictive control
0204 chemical engineering
media_common
business.industry
Process (computing)
Control engineering
Fault tolerance
Computer Science Applications
Control and Systems Engineering
Fault tolerant control
Modeling and Simulation
business
Dearomatisation process
Fault detection
Zdroj: Journal of Process Control
Journal of Process Control, Elsevier, 2009, 19 (7), pp.1091-1102. 〈10.1016/j.jprocont.2009.01.009〉
Journal of Process Control, Elsevier, 2009, 19 (7), pp.1091-1102. ⟨10.1016/j.jprocont.2009.01.009⟩
ISSN: 0959-1524
DOI: 10.1016/j.jprocont.2009.01.009〉
Popis: International audience; In this paper, a fault tolerant control (FTC) for a dearomatisation process in the presence of faults in online product quality analysers is presented. The FTC consists of a fault detection system (FDI) and a logic for triggering predefined FTC actions. FDI is achieved by combining several process data driven approaches for detecting faults in online quality analysers. The FTC exploits the diagnostic information in adapting a quality controller (MPC) to the faulty situation by manipulating tuning parameters of the MPC to produce both proactive and reactive strategies. The proposed FTC was implemented, tested offline and validated onsite at the Naantali oil refinery. The successful testing and plant validation results are presented and discussed.
Databáze: OpenAIRE
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