Design of Genetic Algorithm Based Internal Model Controller for a Heat Exchanger

Heat exchangers are widely used in chemical industries and temperature control is mainly focused. Generally shell and tube heat exchangers are more popular and it is used in this work, which produces nonlinear characteristics. Initially system model is identified using Sundaresan-Krishnaswamy (SK) method by splitting the nonlinear zone into multiple linear operating zone and various controller is designed for each region. In this work PID controller, GA based PID controller, GA based IMC controller is designed for controlling the temperature of heat exchanger by manipulating the inlet flowrate and performance measures have been studied to identify the suitable controller. From the performance measures the best controller have been chosen for temperature control in shell and tube heat exchanger