TY  - JOUR
T1  - Design and Control of Steam Flow in Cement Production Process using Neural Network Based
Controllers
AU - Jibril, Mustefa AU - Tadese, Messay AU - Alemayehu Tadese, Eliyas 
JO  - Journal of Engineering and Applied Sciences
VL  - 16
IS  - 9
SP  - 282
EP  - 288
PY  - 2021
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2021.282.288
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2021.282.288
KW  - NARMA L2
KW  -model reference controller
KW  -predictive controller
AB  - In this study 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.
ER  -