In this paper, a Magnetic Levitation (MAGLEV) train is designed with
a first degree of freedom electromagnetbased
totally system that permits to levitate vertically up and down. Fuzzy
logic, PID and MRAS controllers are
used to improve the Magnetic Levitation train passenger comfort and
road handling. A matlab Simulink model is
used to compare the performance of the three controllers using step
input signals. The stability of the Magnetic
Levitation train is analyzed using root locus technique. Controller
output response for different time period and
change of air gap with different time period is analyzed for the three
controllers. Finally the comparative simulation
and experimental results demonstrate the effectiveness of the presented
fuzzy logic controller.
:C\:\\Users\\user\\Desktop\\Mustefa Jibril Publication to Dire Dawa University\\Publication with Certificate\\Comparisons of Fuzzy MRAS and PID Controllers for EMS Maglev Train\\36075 Paper.pdf:PDF
%0 Journal Article
%1 MustefaJibril12020w
%A Mustefa Jibril1, Tesfabirhan Shoga2
%D 2020
%J Report and Opinion Journal
%K (MAGLEV) Fuzzy Levitation MRAS Magnetic PID, logic, train,
%N 2
%P 55-61
%R 10.7537/marsroj120220.08.
%T Comparisons of Fuzzy MRAS and PID Controllers for EMS
Maglev Train
%V 12
%X In this paper, a Magnetic Levitation (MAGLEV) train is designed with
a first degree of freedom electromagnetbased
totally system that permits to levitate vertically up and down. Fuzzy
logic, PID and MRAS controllers are
used to improve the Magnetic Levitation train passenger comfort and
road handling. A matlab Simulink model is
used to compare the performance of the three controllers using step
input signals. The stability of the Magnetic
Levitation train is analyzed using root locus technique. Controller
output response for different time period and
change of air gap with different time period is analyzed for the three
controllers. Finally the comparative simulation
and experimental results demonstrate the effectiveness of the presented
fuzzy logic controller.
@article{MustefaJibril12020w,
abstract = {In this paper, a Magnetic Levitation (MAGLEV) train is designed with
a first degree of freedom electromagnetbased
totally system that permits to levitate vertically up and down. Fuzzy
logic, PID and MRAS controllers are
used to improve the Magnetic Levitation train passenger comfort and
road handling. A matlab Simulink model is
used to compare the performance of the three controllers using step
input signals. The stability of the Magnetic
Levitation train is analyzed using root locus technique. Controller
output response for different time period and
change of air gap with different time period is analyzed for the three
controllers. Finally the comparative simulation
and experimental results demonstrate the effectiveness of the presented
fuzzy logic controller.},
added-at = {2020-10-07T16:07:29.000+0200},
author = {Mustefa Jibril1, Tesfabirhan Shoga2},
biburl = {https://www.bibsonomy.org/bibtex/2b83b6e93f034f335a0df98fc14b1428f/mustefa1981},
doi = {10.7537/marsroj120220.08.},
file = {:C\:\\Users\\user\\Desktop\\Mustefa Jibril Publication to Dire Dawa University\\Publication with Certificate\\Comparisons of Fuzzy MRAS and PID Controllers for EMS Maglev Train\\36075 Paper.pdf:PDF},
interhash = {951d1632802bdba16240534f67630aac},
intrahash = {b83b6e93f034f335a0df98fc14b1428f},
journal = {Report and Opinion Journal},
keywords = {(MAGLEV) Fuzzy Levitation MRAS Magnetic PID, logic, train,},
month = {Feburary},
number = 2,
owner = {user},
pages = {55-61},
review = {peer reviewed},
timestamp = {2020-10-07T16:08:26.000+0200},
title = {Comparisons of Fuzzy MRAS and PID Controllers for EMS
Maglev Train},
volume = 12,
year = 2020
}