Intelligence-based hybrid control for power plant boiler

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

29 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)280-287
Journal / PublicationIEEE Transactions on Control Systems Technology
Volume10
Issue number2
Publication statusPublished - Mar 2002

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.

Research Area(s)

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