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IDENTIFICATION OF THE DYNAMIC MODEL OF A PETROCHEMICAL FURNACE OF 50MW FOR IMPLEMENTATION OF mpc control 12

IDENTIFICATION OF THE DYNAMIC MODEL OF A PETROCHEMICAL FURNA...

12th International-Federation-of-Automatic-control (IFAC) Symposium on Dynamics and control of Process Systems including Biosystems (DYCOPS)

作者： Chaves, Carlos Roberto Juliani, Rodrigo C. G. Garcia, Claudio Univ Sao Paulo Escola Politecn Sao Paulo SP Brazil Cursor Identificat & Control Ltd Sao Paulo SP Brazil

This work presents the procedure used for the identification of the dynamic model of a 50 MW petrochemical furnace. This real system is responsible for the generation of thermal energy, necessary for the heating of the load currents of the processing unit of bituminous shale derivatives. The variability or instability of temperature control, airflow for combustion and fuel flow, may affect the results related to the efficiency of the petrochemical furnace. In addition to the financial losses, another relevant aspect is the impact on the environment, i.e., it is a variable that must be maintained within operational restrictions. Based on the problems highlighted, it is justifiable to invest in multivariable predictive control. For this reason, the identification and validation of the model is essential to the success of the performance of the predictive controller algorithm. In this work, all the steps to obtain the model of the multivariable process of the petrochemical furnace are presented. The model obtained was validated by analysis of computational methods and tools. The result of the validations shows that the identified model reflects with great accuracy the behavior of the actual plant, in this case the petrochemical furnace. (C) 2019, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Petrochemical-Furnace System Identification Process Modeling predictive control mpc

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Identification of the Dynamic Model of a Petrochemical Furnace of 50MW for Implementation of mpc control

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IFAC-PapersOnLine 2019年第1期52卷 317-322页

作者： Carlos Roberto Chaves Juliani C.G. Rodrigo Claudio Garcia Cursor Identification and Control Ltd São Paulo SP Brazil

关键词： Petrochemical-Furnace System Identification Process Modeling predictive control mpc

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