Robust Parameter Identification for Railway Suspension Systems

Selma Žoljić-Beglerović, Mohammad Ali Golkani, Martin Steinberger, Martin Horn

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


Detecting faults at the right time is crucial both for adequate maintenance and optimal operation of railway vehicles. The increasing complexity of the modern railway system pose a challenge for appropriate fault diagnosis and isolation (FDI). In this paper, a sliding-mode-based parameter identification algorithm is proposed as a solution for the identification of parameters in a simplified railway system. It is assessed on different faulty cases where the accuracy of the estimation and sensitivity to faults are shown, as well as robustness to model uncertainties. The data used for simulations and algorithm evaluation is generated using a validated Multibody Simulation (MBS) model implemented in Simpack, while the numerical simulations are carried out through MATLAB/Simulink.
Original languageEnglish
Title of host publication15th International Workshop on Variable Structure Systems (VSS)
Publication statusPublished - 2018
Event15th International Workshop on Variable Structure Systems - Graz University of Technology, Graz, Austria
Duration: 9 Jul 201811 Jul 2018


Conference15th International Workshop on Variable Structure Systems
Abbreviated titleVSS 2018

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