Design of a fuzzy controller for pH using genetic algorithm

The control of pH is important in the chemical industry, poses a difficult problem because of inherent nonliniarities and frequently changing process dynamics. The work described in this paper aims at exploring a technique for producing adaptive fuzzy logic controller (FLC), in which a genetic (GA) is employed to alter membership functions. GA is an adaptive search technique based on natural selection and genetics rules. An adaptive GA-FLC scheme is presented for control of the pH process, the objective is to drive the pH of the solution to the desired set point in the shortest time by adjusting the valves on the two control input streams. Key-Words : genetic algorithms, fuzzy logic, process control, nonlinear control, pH.