Comparisons of Fuzzy MRAS and PID Controllers for EMS Maglev Train

TL;DR

This paper compares fuzzy MRAS and PID controllers in a MAGLEV train system to enhance stability and passenger comfort, using simulations and stability analysis to evaluate performance.

Contribution

It introduces a comparative analysis of fuzzy MRAS and PID controllers for MAGLEV trains, highlighting their effectiveness through simulation and experimental results.

Findings

Fuzzy MRAS controller improves stability and response time.

PID controller shows reliable performance in steady conditions.

Fuzzy logic controller enhances passenger comfort and handling.

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.