Intelligent Controllers of Multiple Effect Evaporators via Simulation

Abstract

Abstract This study deals with studying the dynamics and control of multiple effect evaporators by implementing two intelligent controllers for the evaporation of caustic soda. A mathematical model for evaporator is derived based on mass and energy balance. A dynamic model is designed using “MATLAB/Simulink” program based on the mathematical model derived. The intelligent controllers in this study are fuzzy and neural networks and compared with PID controller. The results showed that a good improvement for caustic soda system is achieved when the fuzzy logic with seven membership functions and neural predictive controllers are used because these methods have more suitable, lower over shoot, less offset value and less integral absolute error within range.