Empirical Model Identification and PID Controller uning for a Flow Process

This paper focuses on empirical model identification of a flow control process with delay ime and design an optimum PID controller by comparing different tuning techniques. The First order process with delay time (FOPDT) model of the flow control process is identified y Process reaction curve (PRC) method and Two-point method. A set of PID tuning techniques namely Zigler-Nichols, Cohen-Coon, Chein-Hrons-Reswick, Wang-Juang-Chan, nd AMIGO methods are considered in this work. The PID tuning methods are simulated in SIMULINK environment and the responses are compared in terms of rise time, overshoot, eak value and settling time. The optimum controller values are identified by comparing the esponses.