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Communication Dans Un Congrès Année : 2021

Design of sliding mode observer for the estimation of train car positions and in-train forces

Résumé

For the control design of freight trains, the estimation of in-train forces is crucial to avoid safety issues caused by the possible failure of car couplers under excessive stress. However, the in-train forces and the relative positions of adjacent train cars are not directly measurable. To address this issue, this paper designs estimators of train car positions and in-train forces using only locomotive-based measurements. Using the multi-point train model, a cascade structure of robust sliding mode differentiators is developed. It provides finite-time estimation of train car positions and in-train forces. Simulation results illustrate the feasibility of the proposed approach.
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Origine : Publication financée par une institution
Licence : CC BY NC ND - Paternité - Pas d'utilisation commerciale - Pas de modification

Dates et versions

hal-03407154 , version 1 (27-06-2022)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification

Identifiants

Citer

Fawzia Bouchama, Michael Defoort, Denis Berdjag, Jimmy Lauber. Design of sliding mode observer for the estimation of train car positions and in-train forces. 4th IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, Jul 2021, Valenciennes, France. ⟨10.1016/j.ifacol.2021.10.017⟩. ⟨hal-03407154⟩
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