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.
Description
Comparisons of Fuzzy MRAS and PID Controllers for EMS Maglev Train
%0 Generic
%1 jibril2020comparisons
%A Jibril, Mustefa
%A Tadese, Eliyas Alemayehu
%D 2020
%K myown
%R 10.7176/IKM/10-4-04
%T Comparisons of Fuzzy MRAS and PID Controllers for EMS Maglev Train
%U http://arxiv.org/abs/2009.06716
%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.
@misc{jibril2020comparisons,
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 = {2020-09-21T12:34:36.000+0200},
author = {Jibril, Mustefa and Tadese, Eliyas Alemayehu},
biburl = {https://www.bibsonomy.org/bibtex/24c29347a8995448c0ea6bf213012a4e5/mustefa1981},
description = {Comparisons of Fuzzy MRAS and PID Controllers for EMS Maglev Train},
doi = {10.7176/IKM/10-4-04},
interhash = {de468b3c52e7b4329b3b573a70314584},
intrahash = {4c29347a8995448c0ea6bf213012a4e5},
keywords = {myown},
note = {cite arxiv:2009.06716},
timestamp = {2020-09-21T12:34:36.000+0200},
title = {Comparisons of Fuzzy MRAS and PID Controllers for EMS Maglev Train},
url = {http://arxiv.org/abs/2009.06716},
year = 2020
}