Open AccessIntelligent Controllers of Multiple Effect Evaporators via Simulation
Author(s) -
Duraid Fadhil Ahmed,
Zainab A. Khalaf
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/928/2/022008
Subject(s) - control theory (sociology) , artificial neural network , pid controller , evaporator , offset (computer science) , matlab , computer science , intelligent control , control engineering , fuzzy logic , caustic (mathematics) , controller (irrigation) , temperature control , engineering , control (management) , mathematics , artificial intelligence , mechanical engineering , heat exchanger , agronomy , mathematical physics , biology , programming language , operating system
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.