2017 29th Chinese Control and Decision Conference (CCDC) 2017
DOI: 10.1109/ccdc.2017.7978565
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A novel estimator for adhesion force of railway vehicles braking systems and reference speed calculation

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Cited by 6 publications
(1 citation statement)
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“…Several approaches have been proposed using Kalman Filters to avoid measurement noise and the computation of derivatives used in [16]. However, these methods rely on the mathematical model of the mechanical drive train and require accurate parameter estimates [17]- [19]. The authors in [20] proposed an adaptive sliding mode control to stabilize wheel slip and improve traction performance but this method requires accurate measurement of the adhesion force, which is not easy to achieve in practice.…”
Section: Introductionmentioning
confidence: 99%
“…Several approaches have been proposed using Kalman Filters to avoid measurement noise and the computation of derivatives used in [16]. However, these methods rely on the mathematical model of the mechanical drive train and require accurate parameter estimates [17]- [19]. The authors in [20] proposed an adaptive sliding mode control to stabilize wheel slip and improve traction performance but this method requires accurate measurement of the adhesion force, which is not easy to achieve in practice.…”
Section: Introductionmentioning
confidence: 99%