A Multiregion Fuzzy Logic Controller for Nonlinear Process Control


Research output: Journal PublicationsJournal Article (refereed)peer-review

114 Citations (Scopus)


Although a fuzzy logic controller is generally non-linear, a Pi-type fuzzy controller that uses only control error and change in control error is not able to detect the process nonlinearity and make a control move accordingly. In this paper, a multiregion fuzzy logic controller is proposed for nonlinear process control. Based on prior knowledge, the process to be controlled is divided into fuzzy regions such as high-gain, low-gain, large-time-constant, and small-time-constant. Then a fuzzy controller is designed based on the regional information. Using an auxiliary process variable to detect the process operating regions, the resulting multiregion fuzzy logic controller can give satisfactory performance in all regions. Rule combination and controller tuning are discussed. Application of the controller to pH control is demonstrated. © 1994 IEEE
Original languageEnglish
Pages (from-to)74-81
Number of pages8
JournalIEEE Transactions on Fuzzy Systems
Issue number1
Publication statusPublished - Feb 1994
Externally publishedYes


  • Fuzzy logic control
  • fuzzy PI controllers
  • nonlinear process control
  • pH control


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