Article,
Design and Control of Steam Flow in Cement Production Process using Neural Network Based Controllers
Researcher Journal, 12 (5): 76-84 (May 2020)
DOI: 10.7537/marsrsj120520.09
Abstract
In this paper a NARMA L2, model reference and neural network predictive
controller is utilized in order
to control the output flow rate of the steam in furnace by controlling
the steam flow valve. The steam flow control
system is basically a feedback control system which is mostly used
in cement production industries. The design of
the system with the proposed controllers is done with Matlab/Simulink
toolbox. The system is designed for the
actual steam flow output to track the desired steam that is given
to the system as input for two desired steam input
signals (step and sine wave). In order to analyze the performance
of the system, comparison of the proposed
controllers is done by simulating the system for the two reference
signals for the system with and without sensor
noise disturbance. Finally the comparison results prove the effectiveness
of the presented process control system
with model reference controller.
