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Modelling and parameter identification of friction coefficient for brake pair on urban rail vehicle

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  • Zewang Yuan
  • Chun Tian
  • Mengling Wu

Abstract

The uncertainty of friction coefficient brings error to braking control and force calculation on urban rail vehicle. A dynamic friction model using exponential function was developed. The undetermined parameters under different operating conditions were identified by using nonlinear least square method, based on the test data from a full-scale braking test rig. The coefficient $$\gamma $$γ reflects the decreasing rate of the friction coefficient with the increasing velocity. The parameter $$\alpha $$α relates to the asymptote of friction coefficient. The term $$\alpha + \beta $$α+β reflects the static friction coefficient. The estimated errors of the parameters are within 10−4-10−2. During the steady braking stage, the calculated curves are in good agreement with the measured ones, and their squared errors are within 10–5. The parameter $$\gamma $$γ under wet condition is bigger than that under dry condition, while $$\alpha $$α is smaller than that under dry condition. The term $$\alpha + \beta $$α+β is close to the measured static friction coefficient.

Suggested Citation

  • Zewang Yuan & Chun Tian & Mengling Wu, 2021. "Modelling and parameter identification of friction coefficient for brake pair on urban rail vehicle," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 9(4), pages 368-379, July.
  • Handle: RePEc:taf:tjrtxx:v:9:y:2021:i:4:p:368-379
    DOI: 10.1080/23248378.2020.1807422
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