Estimation of Lateral Track Irregularity Through Kalman Filtering Techniques

The aim of this work is to develop a model-based methodology for monitoring lateral track irregularities based on the use inertial sensors mounted an in-service train. To end, gyroscope used measure wheelset yaw angular velocity and two accelerometers are acceleration bogie frame. main contribution present development very efficient Kalman-based strategy estimate irregularities. Kalman filter highly simplified linear model that able capture most relevant dynamic behaviour vehicle. designed assessed through detailed multibody vehicle running straight with realistic output generate virtual measurements subsequently run validate proposed estimator. In addition, equivalent parameters identified these simulations. order prove robustness technique, systematic parametric analysis has been performed. results obtained method promising, showing high accuracy alignment tracks, low computational cost.