The automation of complex industrial batch processes is a difficult problem due to the extremely nonlinear and variable system behavior or the conflicting goals within the different process phases. The introduction of a single multiple-input multiple-output controller (e.g. fuzzy logic (FL) controller) is not useful because of the rather high design effort and the low transparency of its complex structure. A more suitable hierarchical FL-based supervisory control concept is proposed in this paper. It permits the decomposition of the complex control problem into a series of smaller and simpler ones. In the upper level of the hierarchy the FL-based supervisory controller classifies the actual process situation in terms of the available process sensor signals and activates dynamically the appropriate situation specific low-level controllers. The generic concept of the FL supervisory controller which comprises both a knowledge-based process diagnosis and a control mode selection as well as experiences with the industrial application will be presented in this paper.


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    Titel :

    Fuzzy logic supervisory control of a strongly disturbed batch process


    Beteiligte:
    Frey, C.W. (Autor:in) / Sajidman, M. (Autor:in) / Kuntze, H.-B. (Autor:in)

    Erscheinungsdatum :

    1999-01-01


    Anmerkungen:

    Fraunhofer IITB


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    DDC:    629 / 670



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