Optimal Tuning of PID Controller for Centrifugal Temperature Control System in Sugar Industry Using Genetic Algorithm

Abstract

This paper presents optimal tuning of the PID controllers for regulating the temperature in a heat exchanger of centrifugal machines in sugar industry using genetic algorithm. For filtering out sugar from the molasses centrifugal machines are operated at certain temperature and any alterations from the set point will drastically affect the process safety and product quality. The PID controller maintains the temperature of the outgoing fluid at a desired level and that too in a short duration of time, and must be able to adapt to the external disturbances and accept the new set points dynamically. Initially, an oscillatory behavior has been obtained for the PID controller tuned using RTR, followed by optimization using genetic algorithms. The GA optimized PID controller shows better response irrespective of the conventional RTR tuned PID in terms of the performance indices.