Research on Train Anti-skid Control Based on Optimal Creep Rate
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Published
2021-12-20
Issue Date
2025-06-06
Abstract
Due to the time-varying environment of the rail surface, the traditional train anti-skid algorithm can
not make the train make good use of the adhesion between the wheel and rail, resulting in excessive braking
distance. For this phenomenon, an adaptive sliding mode control algorithm based on optimal creep rate is
proposed. Firstly, the first-order low-pass filter is used to obtain the adhesion between the wheel and rail. Then,
a dynamic forgetting factor recursive least squares algorithm is designed to estimate the optimal creep rate of
the rail surface environment in real time. Finally, the adaptive algorithm is introduced based on the traditional
sliding mode algorithm, which suppresses the jitter of sliding mode control while solving external interference.
The experimental results show that the proposed algorithm can make the creep rate quickly converge to the
reference value, make the train better adapt to the rail surface change, reduce the braking distance, and ensure a
good anti-slip effect.
LI Zhong-qi, MENG Fan-hui, YANG Hu.
Research on Train Anti-skid Control Based on Optimal Creep Rate[J]. Control Engineering of China, 2021, 28(12): 2312-2317