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Diagnosis of Abnormal Situations in a Continuous Solution Polymerization Reactor
Author(s) -
Sotomayor Oscar A. Z.,
Odloak Darci,
Giudici Reinaldo
Publication year - 2007
Publication title -
macromolecular theory and simulations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.37
H-Index - 56
eISSN - 1521-3919
pISSN - 1022-1344
DOI - 10.1002/mats.200600075
Subject(s) - control theory (sociology) , benchmark (surveying) , actuator , fault detection and isolation , model predictive control , observer (physics) , residual , computer science , polymerization , control (management) , materials science , algorithm , artificial intelligence , physics , polymer , geodesy , quantum mechanics , composite material , geography
This work presents results on the problem of robust on‐line diagnosis of abnormal situations in the case of the free‐radical solution polymerization of styrene in a continuous well‐mixed reactor operating under feedback control. The control system is constituted of a model predictive control strategy in conjunction with a ratio control law. The proposed fault diagnosis system is based on an open‐loop approach, which uses a linearized model of the polymerization process for the implementation of a bank of reduced‐order unknown input observers. Each observer is designed to detect changes in a particular process parameter, external disturbance or malfunctioning of sensors and actuators. Fault isolation is obtained through a structured residual approach; meanwhile, fault estimation is performed using the degree of freedom remaining in the observer design. The effectiveness of the proposed technique is verified through numerical simulations carried out on a well‐defined industrial styrene polymerization benchmark.