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

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  • Ye Tian
  • W.J.T. (Bill) Daniel
  • Sheng Liu
  • Paul A. Meehan

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.

Suggested Citation

  • Ye Tian & W.J.T. (Bill) Daniel & Sheng Liu & Paul A. Meehan, 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, Taylor & Francis Journals, vol. 3(1), pages 40-59, February.
    • Handle: RePEc:taf:tjrtxx:v:3:y:2015:i:1:p:40-59
    DOI: 10.1080/23248378.2014.994259
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    References listed on IDEAS

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    1. Maksym Spiryagin & Colin Cole & Yan Quan Sun, 2014. "Adhesion estimation and its implementation for traction control of locomotives," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 2(3), pages 187-204, August.
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