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Tuning of PI Controller for A Conical TankProcess with Fuzzy Rules

Gireesh Namineni*, G.Sreenivasulu**

* Professor, Department of EIE, Sree Vidyanikethan Engineering College, Tirupati.

** Professor, Department of ECE, SVU College of Engineering, Tirupati.

Periodicity:May - July'2014
DOI : https://doi.org/10.26634/jic.2.3.3056

Abstract

In many industries, there are few nonlinear elements present in the system. Many industries used conventional controllers like P, PI and PID for controlling the controlled variable of the process. Controlling the nonlinear processes is a challenging task. In this paper conventional PI controller parameters are tuned using Fuzzy rules for maintaining the liquid level in the conical tank at desired level. Fuzzy rule base reasoning method used to determine a tuning parameter α based on the error and the rate of change of error of the process. This tuning parameter is used to calculate the Proportional gain and Integral gain of the PI Controller. Time domain analysis and performance indices are calculated and compared with Zeigler Nichols tuning method

Keywords

Conical tank, PI controller, Fuzzy Rule base, Performance indices.

How to Cite this Article?

Gireesh, N., and Sreenivasulu, G. (2014). Tuning of PI Controller for a Conical Tank Process with Fuzzy Rules. i-manager’s Journal on Instrumentation and Control Engineering, 2(3), 6-10. https://doi.org/10.26634/jic.2.3.3056

References

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[2]. P.Aravind, M.Valluvan and S.Ranganathan (2013). Modelling and Simulation of Non Linear Tank. IJAREEIE, Vol.2(2), pp.842-849.

[3]. Jianming Zhang, Ning Wang and Shuqing Wang. (2004). A Developed Method of Tuning PID Controllers with Fuzzy Rules for Integrating Processes. Proceeding of the 2004 American Control Conference, pp.1109-1114.

[4]. G.Sreenivasulu and S.N.Reddy. (2009). Design and performance studies on Fuzzy Logic Controller for Superheated Steam Temperature System. Instrument Society of India, Vol.39(4), pp.247-249.

[5]. M.Chidambaram and R.P.Sree. (2003). A Simple method of tuning PID controllers for integrator/dead-time processes. Computers and Chemical Engineering, Vol.27, pp.211-215.

[6]. N.Gireesh and G.Sreenivasulu. (2014). Comparison of PI controller performances for a Conical Tank process using different tuning methods. Proceedings of International Conference on Advances in Electrical Engineering. DOI: 10.1109/ICAEE.2014.6838426

[7]. Drainkov D., Hellendroom H. and Reinfrank M.(1997). An Introduction to Fuzzy Control. New Delhi: Narosa Publishing House.

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Tuning of PI Controller for A Conical TankProcess with Fuzzy Rules

Abstract

Keywords

How to Cite this Article?

References

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