Hierarchical control and optimisation of the Tennessee Eastman process

P. D. Roberts, Victor Manuel Becerra

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


    Based on integrated system optimisation and parameter estimation a method is described for on-line steady state optimisation which compensates for model-plant mismatch and solves a non-linear optimisation problem by iterating on a linear - quadratic representation. The method requires real process derivatives which are estimated using a dynamic identification technique. The utility of the method is demonstrated using a simulation of the Tennessee Eastman benchmark chemical process.
    Original languageUndefined/Unknown
    Title of host publication15th Triennial World Congress of the International Federation of Automatic Control (IFAC)
    Publication statusPublished - 2002


    • optimisation, identification, hierarchical control, chemical industry, steady states

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