A Comparison Between Optimized Neuro-Fuzzy (with Genetic Algorithm) and Genetic Algorithm solely for tuning PID-IMC Controller Of Multivariable Distillation Column Plant

摘要

In this paper an inventive approach for PID tuning in multivariable distillation column based on Neuro-Fuzzy, Genetic Algorithm and Internal Model Controller (IMC) technique is proposed. IMC technique reduces the number of parameters that must be tuned for distillation column plant. The algorithm uses GA for optimal determination of IMC variables. Simulation results indicate efficient performance of optimized proposed method in compare with solely using Genetic Algorithm in distillation column plant.