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Fuzzy-model based pH control

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2 Author(s)
Kelkar, B. ; Dept. of Chem. & Process Eng., Strathclyde Univ., Glasgow, UK ; Postlethwaite, B.

The inherent nonlinearity of the pH process often renders conventional control difficult. This nonlinearity does however suggests that pH control would be a suitable application area for a fuzzy control system, whose ability to handle nonlinearities 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. The authors present 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

Published in:

Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on

Date of Conference:

26-29 Jun 1994