Performance analysis of intelligent controller for temperature of heat exchanger

Heat exchanger system is generally used in chemical plants as it can sustain wide range of temperature and pressure. Actual purpose of a heat exchanger system is to transfer heat from a hot fluid to a cooler fluid, so temperature control of outlet fluid is of primary concern. Controlling the temperature of outlet fluid of the heat exchanger system by a conventional PID controller can be done. For better disturbance rejection and more optimal control a feed forward controller has been employed. There are many inherent disadvantages of PID controller. Therefore, Internal Model Controller, Fuzzy Logic Controller & Adaptive Neuro-Fuzzy Inference System Controller has been employed to control the temperature of outlet fluid of the heat exchanger. Unit step response analysis has been carried out by using controllers. Result has been tabulated for different controller for the same heat exchanger. It has been observed that fuzzy logic controller provides a satisfactory performance.