Liquid level control is highly important in industrial applications
such as boilers in nuclear power plants.
In this paper a simple liquid level tank is designed based on NARMA-L2
and Model Predictive control controllers.
The simple water level tank has one input, liquid flow inn and one
output, liquid level. The proposed controllers is
compared in MATLAB and then simulated in Simulink to test how the
system actual liquid level track the desired
liquid level with two input desired signals (step and white noise).
The response of the NARMA-L2 controller is then
compared with a MPC controller. The results are shown sequentially
and the effectiveness of the controller is
illustrated.
%0 Journal Article
%1 MustefaJibril12020o
%A Mustefa Jibril 1, Messay Tadese 2, Eliyas Alemayehu Tadese 3
%D 2020
%J Researcher Journal
%K Model NARMA-L2, Predictive Simulink control,
%N 7
%P 23-27
%R 10.7537/marsrsj120720.05
%T Tank Liquid Level Control using NARMA-L2 and MPC Controllers
%V 12
%X Liquid level control is highly important in industrial applications
such as boilers in nuclear power plants.
In this paper a simple liquid level tank is designed based on NARMA-L2
and Model Predictive control controllers.
The simple water level tank has one input, liquid flow inn and one
output, liquid level. The proposed controllers is
compared in MATLAB and then simulated in Simulink to test how the
system actual liquid level track the desired
liquid level with two input desired signals (step and white noise).
The response of the NARMA-L2 controller is then
compared with a MPC controller. The results are shown sequentially
and the effectiveness of the controller is
illustrated.
@article{MustefaJibril12020o,
abstract = {Liquid level control is highly important in industrial applications
such as boilers in nuclear power plants.
In this paper a simple liquid level tank is designed based on NARMA-L2
and Model Predictive control controllers.
The simple water level tank has one input, liquid flow inn and one
output, liquid level. The proposed controllers is
compared in MATLAB and then simulated in Simulink to test how the
system actual liquid level track the desired
liquid level with two input desired signals (step and white noise).
The response of the NARMA-L2 controller is then
compared with a MPC controller. The results are shown sequentially
and the effectiveness of the controller is
illustrated.},
added-at = {2020-09-01T13:57:51.000+0200},
author = {{Mustefa Jibril 1, Messay Tadese 2}, Eliyas Alemayehu Tadese 3},
biburl = {https://www.bibsonomy.org/bibtex/2eec2523adacee3ff30356b2c5fbedee5/mustefa1981},
doi = {10.7537/marsrsj120720.05},
file = {:C\:\\Users\\user\\Desktop\\NEW JOURNAL FOR ORCID\\Tank Liquid Level Control using NARMA-L2 and MPC Controllers.pdf:PDF},
interhash = {542cf1db527aa09ff2e92662069783ef},
intrahash = {eec2523adacee3ff30356b2c5fbedee5},
journal = {Researcher Journal},
keywords = {Model NARMA-L2, Predictive Simulink control,},
month = {July},
number = 7,
owner = {user},
pages = {23-27},
review = {peer reviewed},
timestamp = {2020-09-01T13:58:22.000+0200},
title = {Tank Liquid Level Control using NARMA-L2 and MPC Controllers},
volume = 12,
year = 2020
}