Wheel Slip Control Algorithms for Improving Adhesion Performance of Electric Locomotives

Low-friction surface conditions significantly contribute to the reduction of the wheel/rail adhesion capability and the occurrence of wheel/rail slipping behaviors, which may lead to the degradation of mechanical properties and frictional wear damage at the wheel/rail interface. To mitigate these undesirable consequences, modern railway locomotives are equipped with on-board anti-slip control systems. In this study, three different anti-slip controller models, comprising the traditional re-adhesion anti-slip controller and PID-based anti-slip controller with fixed threshold and with optimal threshold, are established. The wheel/rail rolling-slipping performances subjected to different anti-slip control algorithms under changing wheel/rail friction conditions are compared based on train-track interaction simulations. The results demonstrate that the PID-based anti-slip controller with an optimal threshold achieves the maximum utilization of wheel/rail adhesion in the presence of low-friction conditions, outperforming the other two types of anti-slip controllers. Additionally, the adoption of an anti-slip controller with a lower control threshold can effectively reduce the tread wear of locomotive wheels. This research can provide a deep going understanding of optimization design of anti-slip controller on railway vehicles.

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Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2025-02-20
DOI
https://doi.org/10.1109/tits.2025.3540607
Citations
4
Primary Topic
Railway Engineering and Dynamics
Type
article
Field-Weighted Citation Impact
2.85

Funders

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article

Wheel Slip Control Algorithms for Improving Adhesion Performance of Electric Locomotives

Wanming Zhai, Xinru Guo, Liang Ling, Yunfan Yang
4 citations
IEEE Transactions on Intelligent Transportation Systems
Railway Engineering and Dynamics
2.85
article

Wheel Slip Control Algorithms for Improving Adhesion Performance of Electric Locomotives

Wanming Zhai, Xinru Guo, Liang Ling, Yunfan Yang
article en
4 citations

Abstract

Low-friction surface conditions significantly contribute to the reduction of the wheel/rail adhesion capability and the occurrence of wheel/rail slipping behaviors, which may lead to the degradation of mechanical properties and frictional wear damage at the wheel/rail interface. To mitigate these undesirable consequences, modern railway locomotives are equipped with on-board anti-slip control systems. In this study, three different anti-slip controller models, comprising the traditional re-adhesion anti-slip controller and PID-based anti-slip controller with fixed threshold and with optimal threshold, are established. The wheel/rail rolling-slipping performances subjected to different anti-slip control algorithms under changing wheel/rail friction conditions are compared based on train-track interaction simulations. The results demonstrate that the PID-based anti-slip controller with an optimal threshold achieves the maximum utilization of wheel/rail adhesion in the presence of low-friction conditions, outperforming the other two types of anti-slip controllers. Additionally, the adoption of an anti-slip controller with a lower control threshold can effectively reduce the tread wear of locomotive wheels. This research can provide a deep going understanding of optimization design of anti-slip controller on railway vehicles.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(4)
Hong Kong Polytechnic University (HK), Southwest Jiaotong University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 11%
Railway Engineering and Dynamics
2.85
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Wheel Slip Control Algorithms for Improving Adhesion Performance of Electric Locomotives — Wanming Zhai, Xinru Guo, et al. · IEEE Transactions on Intelligent Transportation Systems (2025) | TGRS Research Map | TGRS