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ISSN 2753-3239
CCC: 15
PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
Edited by: J. Pombo
Paper 14.3

Performance Enhancement of Virtual Coupling Distance Control Under Communication Impairments Using State Estimation

K. Mullankuzhy1 and R. Parise2

1Institute of Vehicle Concepts, German Aerospace Center, Stuttgart, Germany
2Institute of Vehicle Concepts, German Aerospace Center, Berlin, Germany

Full Bibliographic Reference for this paper
K. Mullankuzhy, R. Parise, "Performance Enhancement of Virtual Coupling Distance Control Under Communication Impairments Using State Estimation", in J. Pombo, (Editor), "Proceedings of the Seventh International Conference on Railway Technology: Research, Development and Maintenance ", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 15, Paper 14.3, 2026, doi:10.4203/ccc.15.14.3
Keywords: virtual coupling, Kalman filter, sliding mode control, train-to-train communication, communication impairments, packet loss, state estimation, onboard sensors, zero-order hold.

Abstract
This paper investigates the impact of communication loss and relative sensing disturbances on gap control in virtually coupled train sets (VCTS), as well as the effectiveness of different state estimation methods in mitigating these effects. A simulation framework incorporating train dynamics, gap controller, sensor noise and stochastic communication/sensing drop outs is used for the evaluation. Two state estimation approaches - Zero-Order Hold (ZOH) and Kalman Filter (KF) based approaches are compared. The results show that KF based approach improves control smoothness, jerk and energy consumption, compared to ZOH. In terms of gap tracking the KF based approach only offers modest improvement compared to ZOH. These findings demonstrate that KF based approach generally improves the robustness of gap control. However, state estimation its own it is not sufficient for reliable performance, especially in extreme scenarios.

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