Design of sliding mode observer for the estimation of train car positions and in-train forces
Hiba Fawzia Bouchama, Michaël Defoort, Denis Berdjag, Jimmy Lauber
Abstract
Hiba Fawzia Bouchama, Michaël Defoort, Denis Berdjag, Jimmy Lauber
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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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.
Key concepts: Train, Estimator, Observer (physics), Cascade, Mode (computer interface), Control theory (sociology), Differentiator, Engineering