Development and application of a novel algorithm for steady-state optimising control using dynamic information

Victor Manuel Becerra, P. D. Roberts, J. Lin

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

    Abstract

    A novel optimising controller is designed that leads a slow process from a sub-optimal operational condition to the steady-state optimum in a continuous way based on dynamic information. Using standard results from optimisation theory and discrete optimal control, the solution of a steady-state optimisation problem is achieved by solving a receding-horizon optimal control problem which uses derivative and state information from the plant via a shadow model and a state-space identifier. The paper analyzes the steady-state optimality of the procedure, develops algorithms with and without control rate constraints and applies the procedure to a high fidelity simulation study of a distillation column optimisation.
    Original languageEnglish
    Title of host publicationProceedings of the Third IEEE Conference on Control Applications, 1994
    Place of PublicationPiscataway
    PublisherIEEE
    Pages257-262
    Volume1
    DOIs
    Publication statusPublished - 1994

    Keywords

    • discrete optimal control, distillation column, dynamic information, optimisation, receding-horizon optimal control, shadow model, state-space identifier, steady-state optimising control

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