International Journal of Electrical and Power Engineering

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Stability Control of EMS Maglev Train using New Lambda (λ) Tuning Approach of Single Input Fuzzy Logic using Gradient Descent Algorithm and Particle Swarm Optimization

Mustefa Jibril, Mesay Tadese and Nurye Hassen
Page: 17-23 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

Magnetically Levitated (Maglev) trains to change from traditional trains in that they are regenerated, oriented and driven along a guided path using a variable magnetic field. This study introduces a new approach to the development of SIFLC and GDA and PSO for the implementation of EMS Maglev Train displacement control. The Maglev train was modeled using the mathematical modeling technique to mimic the displacement control system. The PID controller is modeled as the default controller. SIFLC was then modeled in three heuristic tuning methods. The real-time system model has been simulated using MATLAB and rise time (Tr), percentage overshoot (OS) and settling time (Ts) for the Maglev displacement and stability control have been compared and analyzed. The result shows that the SIFLC GDA output has an excellent effect on the specifications of 0.1021% (OS), 2.1332s (Tr) and 17.9790s (Ts).

How to cite this article:

Mustefa Jibril, Mesay Tadese and Nurye Hassen. Stability Control of EMS Maglev Train using New Lambda (λ) Tuning Approach of Single Input Fuzzy Logic using Gradient Descent Algorithm and Particle Swarm Optimization.
DOI: https://doi.org/10.36478/ijepe.2021.17.23
URL: https://www.makhillpublications.co/view-article/1990-7958/ijepe.2021.17.23