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Intelligence-based hybrid control for power plant boiler

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Abstract

    A hybrid classical/fuzzy control methodology is presented to integrate low-level machine control and high-level supervision for the steam temperature and water level processes of the power plant boiler. The coupling between two spraying systems can be reduced using hybrid coarse-fine intelligent control with qualitative decoupling strategy. A hierarchical fuzzy system is used for the water level control, instead of the human operator or the proportional integral derivative (PID) control. Industrial applications show the superiority of the proposed intelligent control over the traditional methods.
    Original languageEnglish
    Pages (from-to)280-287
    JournalIEEE Transactions on Control Systems Technology
    Volume10
    Issue number2
    DOIs
    Publication statusPublished - Mar 2002

    Research Keywords

    • Feedforward control
    • Hybrid control
    • Intelligent control
    • Multivariable control
    • Proportional integral derivative (PID) control
    • Steam water system
    • Supervisory control
    • Temperature control

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