Simulation Water Level Control in The Steam Drum of Steam Power Plant's Boiler System Using A Robust Self-Tuning Scheme for PID-Type Fuzzy

Authors

  • Ali Fatoni Institut Teknologi Sepuluh Nopember
  • Imam Arifin Institut Teknologi Sepuluh Nopember
  • Mughny Indra Darmawan Institut Teknologi Sepuluh Nopember

DOI:

https://doi.org/10.12962/j25796216.v3.i1.73

Abstract

The water level in the steam drum needs to be kept constant at a certain point. Therefore, control is needed for the flow rate of incoming water feedwater to adjust to the disruption of the steam flow rate that comes out. The size of the steam flow rate that comes out depends on the load demand. If the demand for loads is high and fluctuations, then the water level in the steam drum will be more difficult. The PID type fuzzy logic controller with a robust self-tuning scheme will be implemented in the water level regulation system in the steam drum. In the three-element control scheme, when given a high load of 700 MW the system produces an error deviation of 15.69 mm peak against the set point. This value is smaller than the single-element control scheme by producing an error deviation of 18.5 mm against the set point. However, when given a set point change of 40 mm the three-element control scheme produced a response of 16.82 mm peak error error to the set point. This value is greater than the system response with the single-element control scheme which only produces an error deviation of 3.91 mm peak against the set point.Keywords: fuzzy-PID, robust self-tuning scheme, steam drum.

Author Biographies

Ali Fatoni, Institut Teknologi Sepuluh Nopember

Department of Electrical Engineering

Imam Arifin, Institut Teknologi Sepuluh Nopember

Department of Automation Electrical Engineering

Mughny Indra Darmawan, Institut Teknologi Sepuluh Nopember

Department of Electrical Engineering

References

K. D. P. and N. I. J., "Power System Engineering", New Delhi: Tata McGraw-Hill, 2008.

Gilman. G.F. (Jerry), “Boiler Control System Engineering: Second Editionâ€, United States of America (USA): International Society of Automation,2010.

Rajani K Mudi, “A Robust Self-Tuning Scheme for PI- and PD-Type Fuzzy Controllersâ€, IEEE Transactions on Fuzzy Systems : Vol. 7 - No. 1, February 1999.

Yesil. Engin. dkk., “Fuzzy PID Controllers: An Overviewâ€, The 3rd Triennial ETAI International Conference on Applied Automatic SystemsAt: Ohrid. Macedonia, October 2003.

Yan. Jun, dkk., “Using Fuzzy Logic: Towards Intelligent Systemsâ€, New York. London: Prentice Hall, 1948.

Tawfeic. S. R. , “Boiler Drum-Level Modelingâ€, pp. 1812 – 1829, 5 May 2013.

--,“Saturated Properties Calculatorâ€, Energy Efficiency & Renewable Energy.

--,â€Using the LabVIEW Shared Variableâ€, National Instrument, Nov. 12th 2018.

Ogunnaike. Babatunde A. and Ray. W. Harmon, “Process Dynamics, Modeling, and Controlâ€, Oxford. New York: Oxford University Press, 1994.

Ogata. Katsuhiko, “Modern Control Engineering: Fifth Editionâ€, United States of America (USA): Prentice Hall, 2010 .

Kevin M. Passino and Stephen Yurkovich, “Fuzzy Controlâ€, California: Addison Wesley Longman, Inc., 1998.

Keeman. Vojislav, “Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Modelsâ€. United States of America: A Bradford Book. MIT Press, 2001.

Isermann. Rolf and Munchhof. Marco, “Identification of Dynamic Systems: An Introduction with Applicationsâ€, NewYork. London: Springer, 2011.

Astrom. Karl J. and Wittenmark, Bjorn,â€Computer Controlled Systems : Theory and Designâ€, China : Prentice Hall,1997.

Chakraborty. Sanjoy Kumar, “Importance of Three-elements Boiler, Drum Level Control And Its Installation In Power Plantâ€. International Journal of Instrumentation and Control Systems (IJICS) Vol.4, No.2, April 2014.

--, “Coal Power-plantâ€, [Online]. https:// www.mekanizmalar.com/coal_power_plant.html. [Accessed : 10 April 2019].

Downloads

Published

2019-05-06

Issue

Section

Articles(Jaree lama)