Statistical Analysis and Implementation of Intelligent Controller for Heat Exchanger Temperature Process

This paper demonstrates the implementation of intelligent controllers for the control of shell and tube heat exchanger. In order to optimize the future behavior of a shell and tube heat exchanger the fuzzy rules has been formed such that it accurately matches with the nominal operating ranges of heat exchanger. The fuzzy controller design is based on linguistic rules implementation as the control strategy. The intelligent controller produces response with greater performance than PID controller. The experiment is carried by manipulating the cold water inlet flow and temperature to the shell and tube heat exchanger.