System Identification and Analysis of Temperature Control System

In real world, most of the phenomenons occur based on some physical, chemical and biological laws. The study of phenomena becomes much easier through the use of mathematical models with various approaches. In many controls engineering, it is often very important to automate the control process and ensure the optimum performance of the system. Many methods are developed to convert the real time data into the mathematical model. The process of obtaining the mathematical relationship of dynamic behavior of the system is known as system identification. The system identification using empirical method is carried based on the datasets imported into the MATLAB for temperature control system Heat exchanger system. The proportional integral derivative PID controller is used to uplift the substantial optimum performance of the system. The best fit transfer function is identified and the states space model and transfer function model are compared in system identification SI tool box in MATLAB.