Startseite Robust optimal centralized PI controller for a fluid catalytic cracking unit
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Robust optimal centralized PI controller for a fluid catalytic cracking unit

  • Gourav Yadav , Gundla Uday Kiran und Chinta Sankar Rao ORCID logo EMAIL logo
Veröffentlicht/Copyright: 7. August 2020
Veröffentlichen auch Sie bei De Gruyter Brill

Abstract

Fluidized Catalytic Cracking (FCC) is a complex process that arises due to feed composition, non-linearities, and dynamic mass and heat interactions in its components. FCC is difficult to model and monitor in industries, and one of the key reasons is that they are multivariable processes. Such processes are highly interacting and that makes the process of controlling even more difficult. The interaction between loops can be quantified easily by dRGA. An easy and effective way of controlling multivariable processes is to implement a centralized control system, considering the interactions between measured and manipulated variables. In this study, a centralized control system is designed for the riser section of the FCC unit. The dRGA method is modified to enhance the closed-loop response by formulating an optimization problem and obtaining an optimal controller settings. A rigorous simulation studies show an 826% reduction in ISE values, a 309% reduction in IAE values, and a 262% reduction in ITAE value of T r i s from the dRGA method to the modified dRGA method. Further, IAE values for Y l p g are reduced by 29% from dRGA to modified dRGA method and 34% from synthesis to modified dRGA method.


Corresponding author: Chinta Sankar Rao, Department of Chemical Engineering, National Institute of Technology Karnataka, Surathkal, Karnataka - 575025, India, E-mail:

  1. Author contribution: 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.

References

1. Palos, R, Gutierrez, A, Arandes, JM, Bilbao, J. Catalyst used in fluid catalytic cracking (fcc) unit as a support of nimop catalyst for light cycle oil hydroprocessing. Fuel 2018;216:142–52. https://doi.org/10.1016/j.fuel.2017.11.148.Suche in Google Scholar

2. Arbel, A, Huang, Z, Rinard, IH, Shinnar, R, Sapre, AV. Dynamics and control of fluidized catalytic crackers. 1. modeling of the current generation of fcc’s. Ind Eng Chem Res 1995;34:1228–43. https://doi.org/10.1021/ie00043a027.Suche in Google Scholar

3. Sadeghzadeh Ahari, J, Farshi, A, Forsat, K. A mathematical modeling of the riser reactor in industrial fcc unit. Petroleum and Coal 2008;50:15–24.Suche in Google Scholar

4. Ali, H, Rohani, S, Corriou, JP. Modelling and control of a riser type fluid catalytic cracking (fcc) unit. Chem Eng Res Des 1997;75:401–12. https://doi.org/10.1205/026387697523868.Suche in Google Scholar

5. Shayegh, F, Farshi, A, Dehgan, A. A kinetics lumped model for vgo catalytic cracking in a fluidized bed reactor. Petrol Sci Technol 2012;30:945–57. https://doi.org/10.1080/10916466.2010.489091.Suche in Google Scholar

6. Liao, Q-F, Cai, W-J, Li, S-Y, Wang, Y-Y. Interaction analysis and loop pairing for mimo processes described by t-s fuzzy models. Fuzzy Set Syst 2012;207:64–76. https://doi.org/10.1016/j.fss.2012.04.007.Suche in Google Scholar

7. Luyben, WL. Simple method for tuning siso controllers in multivariable systems. Ind Eng Chem Process Des Dev 1986;25:654–60. https://doi.org/10.1021/i200034a010.Suche in Google Scholar

8. Sobana, S, Panda, RC. Modeling and control of reverse osmosis desalination process using centralized and decentralized techniques. Desalination 2014;344:243–51. https://doi.org/10.1016/j.desal.2014.03.014.Suche in Google Scholar

9. Oara, C, Flutur, C, Jungers, M. Squaring down with zeros cancellation in generalized systems. Syst Contr Lett 2016;92:5–13.10.1016/j.sysconle.2016.02.019Suche in Google Scholar

10. Tan, N, Atherton, DP. Design of stabilizing PI and PID controllers. Int J Syst Sci 2006;37:543–54. https://doi.org/10.1080/00207720600783785.Suche in Google Scholar

11. Basuldo, MS, Marchetti, JL. Tuning mathod for interactive multiloop IMC, PI and PID controllers. Chem Eng Commun 1990;97:47–73.10.1080/00986449008911503Suche in Google Scholar

12. Monge, JJ, Georgakis, C. Multivariable control of catalytic cracking processes. Chem Eng Commun 1987;61:197–225. https://doi.org/10.1080/00986448708912039.Suche in Google Scholar

13. Chidambaram, M. Set point weighted PI/PID controllers. Chem Eng Commun 2000;179:1–13. https://doi.org/10.1080/00986440008912186.Suche in Google Scholar

14. Madhuranthakam, CR, Elkamel, A, Budman, H. Optimal tuning of PID controllers for foptd, soptd and soptd with lead processes. Chem Eng Process 2008;47:251–64. https://doi.org/10.1016/j.cep.2006.11.013.Suche in Google Scholar

15. Anchan, SS, Rao, CS. Robust decentralized proportional-integral controller design for an activated sludge process. Asia Pac J Chem Eng 2020;e2531. https://doi.org/10.1002/apj.2531.Suche in Google Scholar

16. Rajapandiyan, C, Chidambaram, M. Controller design for mimo processes based on simple decoupled equivalent transfer functions and simplified decoupler. Ind Eng Chem Res 2012;51:12398–410. https://doi.org/10.1021/ie301448c.Suche in Google Scholar

17. Mjalli, FS. Optimization based nonlinear centralized controller tuning of liquid liquid extraction processes. Solvent Extr Ion Exch 2005;23:561–82. https://doi.org/10.1081/sei-200062607.Suche in Google Scholar

18. Teja, YP, Rao, CS. Design of robust PI controller with decoupler for a fluid catalytic cracking unit. Ind Eng Chem Res 2019;58:20722–33.10.1021/acs.iecr.9b04770Suche in Google Scholar

19. Olafadehan, OA, Sunmola, OP, Jaiyeola, A, Efeovbokhan, V, Grace Abatan, O. Modelling and simulation of an industrial rfccu-riser reactor for catalytic cracking of vacuum residue. Applied Petrochemical Research 2018;8:219–37.10.1007/s13203-018-0212-ySuche in Google Scholar

20. Shen, Y, Sun, Y, Xu, W. Centralized PI/PID controller design for multivariable processes. Ind Eng Chem Res 2014;53:10439–47. https://doi.org/10.1021/ie501541s.Suche in Google Scholar

21. Chen, D, Seborg, DE. PI/PID controller design based on direct synthesis and disturbance rejection. Ind Eng Chem Res 2002;41:4807–22. https://doi.org/10.1021/ie010756m.Suche in Google Scholar

22. Besta, CS, Chidambaram, M. Tuning of multivariable pi controllers by blt method for tito systems. Chem Eng Commun 2016;203:527–38. https://doi.org/10.1080/00986445.2015.1039121.Suche in Google Scholar

23. Dave, DJ, Saraf, DN. A Model suitable for rating and optimization of industrial FCC units. Indian Chem Eng 2003;45:7–19.Suche in Google Scholar

Received: 2020-03-10
Accepted: 2020-07-03
Published Online: 2020-08-07

© 2020 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 30.11.2025 von https://www.degruyterbrill.com/document/doi/10.1515/cppm-2020-0019/pdf
Button zum nach oben scrollen