INTELLIGENT MIMO CONTROL OF DISTILLATION COLUMN BASED ON FUZZY-NEURAL NETWORK AND GENETIC ALGORITHM OPTIMIZATION

This paper presents the design and simulation of an intelligent control strategy for a nonlinear multivariable distillation column system using a hybrid Fuzzy Logic Controller (FLC), Recurrent Neural Networks (RNN), and Genetic Algorithm (GA) optimization. The MIMO fuzzy controller is integrated with neuro-predictive modules to ensure robust operation under dynamic conditions, including start-up and disturbances. Simulation results demonstrate improved performance, stability, and adaptability of the developed control system over conventional PID approaches.