OF OPTIMAL PID CONTROLLER OF PH NEUTRALISATOR BASED ON ANFIS MODEL OF PH NEUTRALISATOR
ABSTRACT In this paper is presented ANFIS (Adaptive Network based Fuzzy Inference System) method of modeling of pH neutralisator. Data that has been used for training of ANFIS are obtained by performing experiments on a real pH neutralisator. The mathematical model of the pH neutralisator is strongly nonlinear so it is advisable to use ANFIS, since ANFIS is an universal approximator. Inputs of the process (control variables) are flow of acid and hydroxide. The working temperature of the process is 128C, with instaled pH meter of operating range 2-12 pH with combined glass electrode in the upper part of the neutralizer, 20 cm bellow the surface. Then using Genetic Algorithms (GA) parameters of PID controller of pH value has been adjusted in optimal way. Since GA is method of search of global optimum, achieved solution is optimal according to integral criterion of performance. Simulation results show utility of the proposed methodology.