Development of Adaptive Control System Using Fuzzy – Genetic Approach
Ülviye Hacızade · 2023
In this study, the structure of adaptive fuzzy control system based on genetic algorithm (GA) is proposed. This system provides the desired unit step response characteristic of the control system when the coefficients of the mathematical model of the control object vary in a wide range. An adaptation algorithm has been developed for fuzzy controllers using genetic algorithm as learning mechanism. GA corrects the knowledge base of fuzzy controllers and with it, it adapts the technological process to the changing dynamic conditions.A computer simulation of the developed adaptive fuzzy controls for the temperature control of the rectification column of the atmosphere block of the primary oil processing equipment was performed. The simulation results showed that the proposed adaptive system based on the fuzzy-genetic approach provided good enough control quality when the model coefficients changed three/four times.