A real-time approach for moving horizon estimation based nonlinear model predictive control of a fluid catalytic cracking unit

Z. K. Nagy, R. Roman, S. P. Agachi, F. Allgoewer

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    Output feedback non-linear model predictive control (NMPC) approach is illustrated on a simulated FCC unit (FCCU). This approach considers the most important features of a real-time control algorithm, which are often overlooked in simulation studies, contouring thus a framework for practical NMPC implementation. The most important features considered in the approach are: state and parameter estimation, efficient solution of the optimization, and computational delay. In the output feedback NMPC approach used, only measurements that are available in practice are considered, whereas the rest of the states are estimated together with uncertain model parameters using a moving horizon estimation (MHE) technique. The approach developed, is based on a state-of-the-art, large-scale SQP-type nonlinear optimization solver, which uses a sparse, interior-point multiple shooting algorithm, that exploits the special structure of optimization problem that arise in NMPC or MHE. The solution of the optimization problem from the NMPC and MHE requires a usually not negligible amount of time, when the system evolves to a different state where the solution is no longer optimal. The importance of taking this computational delay into account is also assessed and a real-time formulation of the control approach is described that includes the computational delay in the NMPC approach. The advantages of the proposed real-time approach are presented through the simulated industrial FCCU application. This is an abstract of a paper presented at the 7th World Congress of Chemical Engineering (Glasgow, Scotland 7/10-14/2005).

    Original languageEnglish
    Title of host publication7th World Congress of Chemical Engineering, GLASGOW2005, incorporating the 5th European Congress of Chemical Engineering - Congress Manuscripts
    Pages504
    Number of pages1
    Publication statusPublished - 2005
    Event7th World Congress of Chemical Engineering, GLASGOW2005, incorporating the 5th European Congress of Chemical Engineering - Glasgow, Scotland, United Kingdom
    Duration: Jul 10 2005Jul 14 2005

    Other

    Other7th World Congress of Chemical Engineering, GLASGOW2005, incorporating the 5th European Congress of Chemical Engineering
    CountryUnited Kingdom
    CityGlasgow, Scotland
    Period7/10/057/14/05

    Fingerprint

    Fluid catalytic cracking
    Model predictive control
    Feedback
    Real time control
    Chemical engineering
    State estimation
    Parameter estimation

    All Science Journal Classification (ASJC) codes

    • Energy(all)

    Cite this

    Nagy, Z. K., Roman, R., Agachi, S. P., & Allgoewer, F. (2005). A real-time approach for moving horizon estimation based nonlinear model predictive control of a fluid catalytic cracking unit. In 7th World Congress of Chemical Engineering, GLASGOW2005, incorporating the 5th European Congress of Chemical Engineering - Congress Manuscripts (pp. 504)
    Nagy, Z. K. ; Roman, R. ; Agachi, S. P. ; Allgoewer, F. / A real-time approach for moving horizon estimation based nonlinear model predictive control of a fluid catalytic cracking unit. 7th World Congress of Chemical Engineering, GLASGOW2005, incorporating the 5th European Congress of Chemical Engineering - Congress Manuscripts. 2005. pp. 504
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    abstract = "Output feedback non-linear model predictive control (NMPC) approach is illustrated on a simulated FCC unit (FCCU). This approach considers the most important features of a real-time control algorithm, which are often overlooked in simulation studies, contouring thus a framework for practical NMPC implementation. The most important features considered in the approach are: state and parameter estimation, efficient solution of the optimization, and computational delay. In the output feedback NMPC approach used, only measurements that are available in practice are considered, whereas the rest of the states are estimated together with uncertain model parameters using a moving horizon estimation (MHE) technique. The approach developed, is based on a state-of-the-art, large-scale SQP-type nonlinear optimization solver, which uses a sparse, interior-point multiple shooting algorithm, that exploits the special structure of optimization problem that arise in NMPC or MHE. The solution of the optimization problem from the NMPC and MHE requires a usually not negligible amount of time, when the system evolves to a different state where the solution is no longer optimal. The importance of taking this computational delay into account is also assessed and a real-time formulation of the control approach is described that includes the computational delay in the NMPC approach. The advantages of the proposed real-time approach are presented through the simulated industrial FCCU application. This is an abstract of a paper presented at the 7th World Congress of Chemical Engineering (Glasgow, Scotland 7/10-14/2005).",
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    Nagy, ZK, Roman, R, Agachi, SP & Allgoewer, F 2005, A real-time approach for moving horizon estimation based nonlinear model predictive control of a fluid catalytic cracking unit. in 7th World Congress of Chemical Engineering, GLASGOW2005, incorporating the 5th European Congress of Chemical Engineering - Congress Manuscripts. pp. 504, 7th World Congress of Chemical Engineering, GLASGOW2005, incorporating the 5th European Congress of Chemical Engineering, Glasgow, Scotland, United Kingdom, 7/10/05.

    A real-time approach for moving horizon estimation based nonlinear model predictive control of a fluid catalytic cracking unit. / Nagy, Z. K.; Roman, R.; Agachi, S. P.; Allgoewer, F.

    7th World Congress of Chemical Engineering, GLASGOW2005, incorporating the 5th European Congress of Chemical Engineering - Congress Manuscripts. 2005. p. 504.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    AB - Output feedback non-linear model predictive control (NMPC) approach is illustrated on a simulated FCC unit (FCCU). This approach considers the most important features of a real-time control algorithm, which are often overlooked in simulation studies, contouring thus a framework for practical NMPC implementation. The most important features considered in the approach are: state and parameter estimation, efficient solution of the optimization, and computational delay. In the output feedback NMPC approach used, only measurements that are available in practice are considered, whereas the rest of the states are estimated together with uncertain model parameters using a moving horizon estimation (MHE) technique. The approach developed, is based on a state-of-the-art, large-scale SQP-type nonlinear optimization solver, which uses a sparse, interior-point multiple shooting algorithm, that exploits the special structure of optimization problem that arise in NMPC or MHE. The solution of the optimization problem from the NMPC and MHE requires a usually not negligible amount of time, when the system evolves to a different state where the solution is no longer optimal. The importance of taking this computational delay into account is also assessed and a real-time formulation of the control approach is described that includes the computational delay in the NMPC approach. The advantages of the proposed real-time approach are presented through the simulated industrial FCCU application. This is an abstract of a paper presented at the 7th World Congress of Chemical Engineering (Glasgow, Scotland 7/10-14/2005).

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    Nagy ZK, Roman R, Agachi SP, Allgoewer F. A real-time approach for moving horizon estimation based nonlinear model predictive control of a fluid catalytic cracking unit. In 7th World Congress of Chemical Engineering, GLASGOW2005, incorporating the 5th European Congress of Chemical Engineering - Congress Manuscripts. 2005. p. 504