GA based Optimization of Control System Performance for Juice Clarifier of Sugar Mill

Abstract

In the present work, the pH neutralization system, which is a part of juice clarification process of sugar mill, is considered and control system is designed for it. Control systems based on ZN, IMC, LQG tuning are designed and their setpoint tracking performance is compared. The control system is further optimized to show an excellent performance using Genetic Algorithm (GA).