Performance Analysis of Internal Model Control and Modified Internal Model Control for Two Tank Interacting and Non- Interacting Liquid System
J.Indirapriyadharshini1, T. Sivaranjani2, R. Gokila3
1J. Indirapriyadharshini, Assistant Professor, Department of Medium Chain Triglycerides, Sri Krishna College of Engineering and Technology, Coimbatore (TamilNadu), India.
2T. Sivaranjani, Research Scholar, Anna University Chennai, India.
3R.Gokila, Assistant Professor, Department of Immigration and Customs Enforcement, Tamilnadu College of Engineering, Coimbatore (TamilNadu), India.
Manuscript received on 10 June 2019 | Revised Manuscript received on 17 June 2019 | Manuscript Published on 19 June 2019 | PP: 712-716 | Volume-8 Issue-8S June 2019 | Retrieval Number: H11220688S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the developed process industries, currently numerous demanding control issues are present because of rapid dynamic changes in process parameters. These changes might be occur since the process characteristics are connected with linear behavior, limitation of process variable and manipulated variable values during operation. Liquid level control in tanks and between the tanks are elementary industrial difficulty and also most essential needs. In many cases, the tanks are connected in parallel and series manner and reveal non-linear distinctiveness. This paper deals with the level control of two tank system which is connected in interacting and non- interacting mode. This paper demonstrates the optimized performance of Internal Model Control (IMC) and modified Internal Model Control (MIMC) for the system connected in interacting and non-interacting tanks in terms of transient response characteristics.
Keywords: Second Order System, Interacting and Non-Interacting System, Internal Model Control, Modified Internal Model Control.
Scope of the Article: Software Domain Modelling and Analysis