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

Abstract : 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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https://hal-uphf.archives-ouvertes.fr/hal-03407154
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Submitted on : Monday, June 27, 2022 - 2:20:24 PM
Last modification on : Thursday, June 30, 2022 - 8:44:45 AM

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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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