Rail CM: Lateral contact forces estimation of locomotive wheelsets using a model-based filter for condition monitoring

Abstract

A model-based estimation technique is proposed to estimate the wheel-rail lateral forces and yaw moments of heavy haul locomotives for condition monitoring, based on discretetime Kalman filter theory. Four Kalman filters, involved individually with the single wheelset (SW) model, bogie model, half-vehicle (HV) model and full-vehicle (FV) model, are developed and compared. For validation of the present estimators, a multi-body system (MBS) dynamics model, accounting for significant DOFs and non-linearities, is established in SIMPACK. Field ring-line experiments of an HXN5 locomotive, with instrumented wheelsets for measuring the wheel-rail vertical and lateral forces, are carried out to validate the MBS model. Numerical examples are given by the present algorithms for estimation of the lateral forces and yaw moments of the HXN5 locomotive in high-, mild-and low-friction contact conditions, corresponding to dry, wet and leaf-covered tracks. It is demonstrated by comparison that the estimated results of the bogie, HV and FV filters are in better agreement with the predictions of the MBS model than those of the SW filter, and the dual-filter using a bogie or HV filter is more efficient than the FV filter.

Estimation of transmitted torques in dual-clutch transmission systems

“…Firstly, the system is linearised around the current estimate with the first-order Taylor expansion, and then the standard Kalman filter equations are used to estimate the system state. At present, the Kalman filter algorithm is widely used in the vehicle state and parameter estimation [13] . In this paper, the EKF algorithm is used to estimate the torque of the clutch and the state space model is rewritten as: The EKF algorithm is divided into a prediction and a measurement update.…”

Sensitivity Analysis of the Elastic Properties of Rail Vehicle Suspensions on Vibration Based on the HXN5 Locomotive Model

“…In order to correctly describe the motions of the locomotive in the MBS model, all significant DOFs are considered to simulate motions of components. Nonlinear properties of force elements are employed, for example dampers, stop clearances, and rubber-metal pads [6]. To undertake the simulation, a reference vehicle model was defined based on the HXN5 locomotive.…”

UQ eSpace

“…However, experimental data is not always available, therefore the literature presents in [13] an investigation that compares two equivalent models that uses different theoretical approaches to simulate a railway vehicle curving performance. Similarly, in [19] the study compares a multi-body model against a simplified model for the simulations of wheelrail contact.…”