Publication

Fuzzy control system design for wheel slip prevention and tracking of desired speed profile in electric trains

Journal Article (2020)

Journal

Asian Journal of Control

Pages

1-13

Doc link

https://doi.org/10.1002/asjc.2472

File

Download the digital copy of the doc pdf document

Authors

  • Moaveni, Bijan

  • Rashidi Fathabadi, Fatemeh

  • Molavi, Ali

Abstract

This study proposes an anti‐slip control system for electric trains based on the fuzzy logic theory, which prevents the wheels from slipping during the acceleration and simultaneously tracks the desired speed profile. To improve the control performance, the train longitudinal velocity and the slip ratio are estimated. By using a field‐oriented control (FOC), the angular speed of the traction motor is controlled. The fuzzy control system determines the desired angular speed of the traction motor as the reference input of FOC to obtain the desired slip ratio and track the desired speed profile. Simulation results show the effectiveness of the control system in various wheel–rail surface conditions based on the real parameters of ER24PC locomotive.

Categories

control theory.

Scientific reference

B. Moaveni, F. Rashidi Fathabadi and A. Molavi. Fuzzy control system design for wheel slip prevention and tracking of desired speed profile in electric trains. Asian Journal of Control: 1-13, 2020, to appear.