Comparison of PI and fuzzy logic based sliding mode locomotive creep controls with change of rail-wheel contact conditions

Tian, Ye, Daniel, William J.T., Liu, Sheng and Meehan, Paul A. (2015) Comparison of PI and fuzzy logic based sliding mode locomotive creep controls with change of rail-wheel contact conditions. International Journal of Rail Transportation, 3 1: 40-59. doi:10.1080/23248378.2014.994259

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads

Author Tian, Ye
Daniel, William J.T.
Liu, Sheng
Meehan, Paul A.
Title Comparison of PI and fuzzy logic based sliding mode locomotive creep controls with change of rail-wheel contact conditions
Journal name International Journal of Rail Transportation   Check publisher's open access policy
ISSN 2324-8386
2324-8378
Publication date 2015-02-13
Year available 2015
Sub-type Article (original research)
DOI 10.1080/23248378.2014.994259
Volume 3
Issue 1
Start page 40
End page 59
Total pages 20
Place of publication Abingdon, Oxfordshire United Kingdom
Publisher Taylor & Francis
Collection year 2016
Language eng
Abstract This paper presents locomotive traction controllers based on proportional-integral and sliding mode control with a fuzzy logic creep reference generator; and compares their performance based on tractive efforts under various operation speeds. The effect of change of wheel-rail friction conditions under different controllers is also investigated. In particular, a sliding mode traction controller based on a fuzzy logic creep reference generator is developed to tackle non-linearity and uncertainty due to the contact conditions and operation speeds. It is shown that at high-speed operation, the fuzzy logic based sliding mode controller can achieve higher tractive force with lower creep values.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mechanical & Mining Engineering Publications
Official 2016 Collection
 
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 3 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Thu, 19 Mar 2015, 19:28:26 EST by Brianne Mackinnon on behalf of School of Mechanical and Mining Engineering