Empirical Model Identification and PID Controller uning for a Flow Process

Meenatchisundaram, S and Dey, Tathagata (2018) Empirical Model Identification and PID Controller uning for a Flow Process. In: International Conference on Innovative Research in Engineering, Computers and Sciences, 19/01/2018, Goa, India.

[img] PDF
1061.pdf - Published Version
Restricted to Registered users only

Download (459kB) | Request a copy


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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: AMIGO controller, Empirical model, Flow control, Process reaction, Two-point method, uning techniques
Subjects: Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 25 Jan 2018 11:23
Last Modified: 25 Jan 2018 11:23
URI: http://eprints.manipal.edu/id/eprint/150470

Actions (login required)

View Item View Item