Step Response and Estimation of Lateral and Yaw Motion Disturbance of Rail Wheel set

Soomro, Zulfiqar Ali

doi:10.4103/0976-8580.149473

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2017

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“…One of the proposed methods detects the wheel slip indirectly from the wheelset dynamic changes caused by wheelsets operating in unstable regions with non-linear contact characteristics as a consequence of wheel slip. The second method estimates the contact force saturation and identifies the maximum adhesion using a model-based technique that involves the use of multiple Kalman filters [17,18].…”

Section: Introductionmentioning

confidence: 99%

Dual estimation of lateral analysis for railway vehicle wheelset to control disturbance for smooth running

Soomro

2017

AUSMT

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The lateral aspects of railway vehicle wheelset have a significant impact on railway wheelset dynamic systems. Lateral analysis usually causes wheelset slippage from the track resulting insufficient adhesion which can lead to creep. Significant disturbances are mostly caused in lateral direction due to speed. This paper uses the dual Kalman filter strategy to deal with noise issues and thus minimizes the error ratio during observation. A single Kalman filter reduces errors to a minimum extent while the second estimator decreases the maximum available chance of error. Using a third estimator provides no further improvement over the dual Kalman filter implementation.

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Section: Introductionmentioning

confidence: 99%