Comparisons of Fuzzy MRAS and PID Controllers for EMS Maglev Train

Abstract

In this paper, a Magnetic Levitation (MAGLEV) train is designed with a first degree of freedom electromagnet-based totally system that permits the teach 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.

Index Terms:Magnetic Levitation (MAGLEV) train, Fuzzy logic, PID, MRAS

DOI: 10.7176/JIEA/10-2-01

Publication date:March 31^st 2020