Fuzzy-model based pH control

Bhooshan Kelkar, Bruce Postlethwaite

Research output: Chapter in Book/Report/Conference proceedingChapter


The inherent nonlinearity of the pH process often renders conventional control difficult. This non-linearity does however suggests that pH control would be a suitable application area for a fuzzy control system, whose ability to handle non-linearities is well known. Many fuzzy controllers are of the rule based type where the controllers output response is described by a series of control rules. However, the controller described in this paper is of a fuzzy-model based type which means that a fuzzy model of the process itself is embedded into the predictive control structure. Current work presents the performance of a fuzzy-model based pH controller for a strong base-weak acid neutralisation carried out in a constant volume CSTR. A study of possible use of clustering techniques is done to define the reference sets. The performance of the fuzzy-model based controller is tested for various set points on the neutralisation curve.
Original languageEnglish
Title of host publicationProceedings of the third IEEE conference on fuzzy systems, 1994
Number of pages5
ISBN (Print)0-7803-1896-X
Publication statusPublished - Jun 1994


  • chemical technology
  • fuzzy control
  • pH control
  • predictive control

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