Simulation and model predictive control of a UOP fluid catalytic cracking unit

Mircea V. Cristea, Şerban P. Agachi, Vasile Marinoiu

    Research output: Contribution to journalArticle

    42 Citations (Scopus)

    Abstract

    Based on a newly developed mathematical model, the complex dynamic simulator of an industrial Universal Oil Products (UOP) fluid catalytic cracking unit was used to implement the model predictive control (MPC) algorithm. The simulator revealed the multivariable, nonlinear and strong interacting feature of the process. Combined with equipment and operating constraints they put severe limits on control performance. Different MPC schemes for the reactor and regenerator's most important process variables were tested and the most favorable have been presented. The constrained MPC approach using scheduled linearization to account for non-linear behavior and a larger number of manipulated than controlled variables proved successful. Comparison with traditional control using decentralized PID controllers revealed incentives for the multivariable model based predictive control in maintaining controlled variables very close to their constrained limits where usually the optimum is situated.

    Original languageEnglish
    Pages (from-to)67-91
    Number of pages25
    JournalChemical Engineering and Processing
    Volume42
    Issue number2
    DOIs
    Publication statusPublished - 2003

    Fingerprint

    Fluid catalytic cracking
    Model predictive control
    Oils
    Simulators
    Decentralized control
    Regenerators
    Linearization
    Mathematical models
    Controllers

    All Science Journal Classification (ASJC) codes

    • Chemistry(all)
    • Chemical Engineering(all)
    • Energy Engineering and Power Technology
    • Process Chemistry and Technology
    • Industrial and Manufacturing Engineering

    Cite this

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    abstract = "Based on a newly developed mathematical model, the complex dynamic simulator of an industrial Universal Oil Products (UOP) fluid catalytic cracking unit was used to implement the model predictive control (MPC) algorithm. The simulator revealed the multivariable, nonlinear and strong interacting feature of the process. Combined with equipment and operating constraints they put severe limits on control performance. Different MPC schemes for the reactor and regenerator's most important process variables were tested and the most favorable have been presented. The constrained MPC approach using scheduled linearization to account for non-linear behavior and a larger number of manipulated than controlled variables proved successful. Comparison with traditional control using decentralized PID controllers revealed incentives for the multivariable model based predictive control in maintaining controlled variables very close to their constrained limits where usually the optimum is situated.",
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    Simulation and model predictive control of a UOP fluid catalytic cracking unit. / Cristea, Mircea V.; Agachi, Şerban P.; Marinoiu, Vasile.

    In: Chemical Engineering and Processing, Vol. 42, No. 2, 2003, p. 67-91.

    Research output: Contribution to journalArticle

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