Title :
Fuzzy-model based pH control
Author :
Kelkar, B. ; Postlethwaite, B.
Author_Institution :
Dept. of Chem. & Process Eng., Strathclyde Univ., Glasgow, UK
Abstract :
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
Keywords :
chemical technology; fuzzy control; pH control; predictive control; clustering techniques; constant volume CSTR; fuzzy control system; fuzzy-model based pH control; neutralisation curve; predictive control; strong base-weak acid neutralisation; Chemical processes; Continuous-stirred tank reactor; Control systems; Cybernetics; Fuzzy control; Fuzzy sets; Fuzzy systems; Nonlinear control systems; Predictive models; Process control;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343655