Application of Self Tuning Fuzzy Logic Control to Full Railway Vehicle Model

Sezer S., Çetin S., Atalay A. E.

Conference of the Complex Adaptive Systems on Responding to Continuous Global Change in Systems Needs, Illinois, United States Of America, 30 October - 02 November 2011, vol.6 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 6
  • Doi Number: 10.1016/j.procs.2011.08.090
  • City: Illinois
  • Country: United States Of America
  • Yıldız Technical University Affiliated: Yes


This paper presents the dynamic modeling and intelligent control of the full railway vehicle against the railway irregularities. In order to safe and comfortable transportation of passengers, vibration analysis and control studies are investigated by using Matlab-Simulink software. The 54 degrees of freedom railway vehicle model is used for analysis. The controllers are placed between the car body and bogies. For reducing the car body vibrations caused by a lateral and two vertical sinusoidal track irregularities, fuzzy logic and self-tuning fuzzy logic control schemes are applied to railway vehicle. The fuzzy logic based algorithms herein are used for realizing the active control of car body vibrations. The simulations of vibration analysis are obtained in time and frequency domains and compared with uncontrolled case. A good vibration reduction performance is achieved by using applied control algorithms.