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Diagnosis of Abnormal Situations in a Continuous Solution Polymerization Reactor

✍ Scribed by Oscar A. Z. Sotomayor; Darci Odloak; Reinaldo Giudici


Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
278 KB
Volume
16
Category
Article
ISSN
1022-1344

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✦ Synopsis


Abstract

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.

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