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Modelling, control and supervisory optimization of generalized predictive control in catalytic cracking reactor

  • Mythily Mani ORCID logo EMAIL logo , Manamalli Deivasigamani , Rames Chandra Panda and Raja Nandhini Ramasami
Published/Copyright: December 2, 2021

Abstract

As gasoline demand increases, the efficiency of operation of Fluidized Catalytic Cracking Unit (FCCU) becomes paramount importance. In this paper, a dynamic model for FCCU is simulated and integrated with yield model in order to estimate the yield of products namely gasoline, light gases and coke. Conventional PI controllers are designed for the control of reactor and regenerator temperature. Since, the complete reaction occurs in a very short duration, the controllers are tuned so as to achieve shorter settling time and minimum overshot. Further in order to increase the yield, optimization of FCCU using Generalized Predictive Controller (GPC) at supervisory level is attempted. Through optimization of objective function, the GPC will provide optimized set point for the PI controller in order to maintain maximum gasoline yield.


Corresponding author: Mythily Mani, Department of Instrumentation Engineering, Anna University, Chennai, India, E-mail:

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2021-06-28
Accepted: 2021-11-13
Published Online: 2021-12-02

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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