Empirical Model Identification and Pid Controller Tuning for a flow Process

Meenatchisundaram, S and Tathagata, Dey (2018) Empirical Model Identification and Pid Controller Tuning for a flow Process. International Journal of Pure and Applied Mathematics, 118 (20). pp. 2015-2021. ISSN 1314-3395

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Abstract

This paper focuses on empirical model identification of a flow control process with delay time 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 by 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, and 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, peak value and settling time. The optimum controller values are identified by comparing the responses.

Item Type: Article
Uncontrolled Keywords: AMIGO controller, Empirical model, Flow control, Process reaction, Two-point method, Tuning techniqu
Subjects: Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 27 Jun 2018 06:32
Last Modified: 27 Jun 2018 06:32
URI: http://eprints.manipal.edu/id/eprint/151369

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