Using Genetic Algorithms to Design a Fuzzy Logic Controller for a pH Reactor: An Object Approach

O. Reyes, G. Sanchez, and M. Strefezza (Venezuela)


Fuzzy Control, Genetic Algorithms, pH reactor, neutralization.


This paper presents a Fuzzy Logic Controller (FLC) designed through Genetic Algorithms (GA). The genetic representation follows an “object approach”, with attributes and methods for each controller element: membership functions, conclusions tables and fitness values. Special mutation and crossover operators are also discussed. Results show that the proposed method is able to find good controllers for the target plant: a pH reactor operating near to the neutral point.

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