Diagnosis of abnormal situations in a continuous solution polymerization reactor

作者：Sotomayor Oscar A Z; Odloak Darci; Giudici Reinaldo^*

来源：Macromolecular Theory and Simulations, 2007, 16(3): 247-261.

DOI：10.1002/mats.200600075

• abnormal situations
• computer modeling
• fault diagnosis
• model predictive control
• polymerization reactors

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.

• 出版日期2007-3-23