Estimation of wheelset equivalent conicity using the dual extended Kalman filter

• DOI: 10.1007/s11044-023-09942-4
• Publication Date: 2023-10-27T14:02:11Z
• Authors: Prapanpong Damson...; Rickard Persson; Sebastian Stichel; Carlos Casanueva
• Keywords: Bogie

Abstract This paper presents the implementation of dual extended Kalman filter (DEKF) to estimate wheelset equivalent conicity, an accurate understanding which can facilitate effective model-based estimator. The estimator is developed identify conicity high-speed railway vehicles while negotiating a curve. designed DEKF employs two discrete-time filters combining state and parameter estimators in parallel. uses easily available measurements from acceleration sensors measuring at axle boxes rate gyroscope bogie frame yaw velocity. Two tests, including linearized actual wheel-rail geometry, are carried out speed 250 km/h with stochastic deterministic track features using multibody simulations, SIMPACK. results acceptable estimation errors for both conditions indicate adequate performance reliability They demonstrate feasibility utilizing this method rail vehicle applications as knowledge time-varying parameters not only important achieving control but also useful condition monitoring.