Comparison between PID and Artificial Neural Networks to Control of Boiler for Steam Power Plant

Author(s): Salim H., Sultan Kh. F., Jawad R.*

Affiliation(s): University of Technology, Al-Sinaa St., 10066 Baghdad, Iraq

*Corresponding Author’s Address: [email protected]

Issue: Volume 6; Issue 1 (2019)

Paper received: October 12, 2018
The final version of the paper received: January 2, 2019
Paper accepted online: January 7, 2019

Salim, H., Sultan, Kh. F., Jawad, R. (2019). Comparison between PID and artificial neural networks to control of boiler for steam power plant. Journal of Engineering Sciences, Vol. 6(1), pp. E10-E15, doi: 10.21272/jes.2019.6(1).e2

DOI: 10.21272/jes.2019.6(1).e2

Research Area:  MECHANICAL ENGINEERING: Computational Mechanics

Abstract. This paper presents is to develop and compare neural network and conventional based controllers for a boiler of steam power plant. Designs of two different controllers for pressure and temperature are presented for keeping the boiler working in normal condition and improve efficiency. These controllers consist of NARMA controller of ANN and a conventional proportional-integrator-derivative (PID) controller. These parameters are adjusted  by built a model and  implementation in MATLAB program according to the requisite of the steam power plant and the control objectives. The results show a neural network is best controlled and superior performances of power plant from PID controller artificial neural network and PID have been applied in Al–Dura power plant in Baghdad. Therefore, neural networks have been extensively utilized in many industrial applications.

Keywords: Artificial Neural Network, control, PID, NARMA controller.


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