The main target of this paper is to control the speed of DC motor
by comparing the actual and the desired
speed set point. The DC motor is designed using Fuzzy logic and MPC
controllers. The comparison is made
between the proposed controllers for the control target speed of the
DC motor using square and white noise desired
input signals with the help of Matlab/Simulink software. It has been
realized that the design based on the fuzzy logic
controller track the set point with the best steady state and transient
system behavior than the design with MPC
controller. Finally, the comparative simulation result prove the effectiveness
of the DC motor with fuzzy logic
controller.
:C\:\\Users\\user\\Desktop\\NEW JOURNAL FOR ORCID\\Comparison of DC Motor Speed Control Performance using Fuzzy Logic and Model Predictive Control Method.pdf:PDF
%0 Journal Article
%1 MustefaJibril12020b
%A Mustefa Jibril1, Messay Tadese2, E. A. T.
%D 2020
%J Report and Opinion Journal
%K Controller Controller, DC Fuzzy Logic MPC Motor,
%N 7
%P 258-260
%R 10.7537/marsroj120720.06
%T Comparison of DC Motor Speed Control Performance using Fuzzy Logic
and Model Predictive Control
Method
%V 12
%X The main target of this paper is to control the speed of DC motor
by comparing the actual and the desired
speed set point. The DC motor is designed using Fuzzy logic and MPC
controllers. The comparison is made
between the proposed controllers for the control target speed of the
DC motor using square and white noise desired
input signals with the help of Matlab/Simulink software. It has been
realized that the design based on the fuzzy logic
controller track the set point with the best steady state and transient
system behavior than the design with MPC
controller. Finally, the comparative simulation result prove the effectiveness
of the DC motor with fuzzy logic
controller.
@article{MustefaJibril12020b,
abstract = {The main target of this paper is to control the speed of DC motor
by comparing the actual and the desired
speed set point. The DC motor is designed using Fuzzy logic and MPC
controllers. The comparison is made
between the proposed controllers for the control target speed of the
DC motor using square and white noise desired
input signals with the help of Matlab/Simulink software. It has been
realized that the design based on the fuzzy logic
controller track the set point with the best steady state and transient
system behavior than the design with MPC
controller. Finally, the comparative simulation result prove the effectiveness
of the DC motor with fuzzy logic
controller.},
added-at = {2020-09-01T13:57:51.000+0200},
author = {{Mustefa Jibril1, Messay Tadese2}, E. A. T.},
biburl = {https://www.bibsonomy.org/bibtex/2c18a6939183fa391f77a26db68b14ca8/mustefa1981},
doi = {10.7537/marsroj120720.06},
file = {:C\:\\Users\\user\\Desktop\\NEW JOURNAL FOR ORCID\\Comparison of DC Motor Speed Control Performance using Fuzzy Logic and Model Predictive Control Method.pdf:PDF},
interhash = {3e9d6b467a74de951c8de11af4ab5faf},
intrahash = {c18a6939183fa391f77a26db68b14ca8},
journal = {Report and Opinion Journal},
keywords = {Controller Controller, DC Fuzzy Logic MPC Motor,},
month = {July},
number = 7,
owner = {user},
pages = {258-260},
review = {peer reviewed},
timestamp = {2020-09-01T13:58:22.000+0200},
title = {Comparison of DC Motor Speed Control Performance using Fuzzy Logic
and Model Predictive Control
Method},
volume = 12,
year = 2020
}