Detail View

Virtual Coupling of Railway Vehicles: Gap Reference for Merge and Separation, Robust Control, and Position Measurement
Citations

WEB OF SCIENCE

Citations

SCOPUS

Metadata Downloads

Title
Virtual Coupling of Railway Vehicles: Gap Reference for Merge and Separation, Robust Control, and Position Measurement
Issued Date
2022-02
Citation
Park, Jaegeun. (2022-02). Virtual Coupling of Railway Vehicles: Gap Reference for Merge and Separation, Robust Control, and Position Measurement. IEEE Transactions on Intelligent Transportation Systems, 23(2), 1085–1096. doi: 10.1109/TITS.2020.3019979
Type
Article
Author Keywords
CouplingsAccelerationRail transportationUncertaintyResistanceError correctionForceSliding model controlvirtual couplingrailway vehiclesrailway balise
ISSN
1524-9050
Abstract
Virtual coupling, which refers to the operation of railway vehicles that enables the merge and separation of vehicles on the move by controlling the gap between the vehicles without any mechanical coupling, is one of the technologies for increasing the transport capacity and enhancing operational efficiency. This paper proposes a robust gap controller based on sliding mode control with a nonlinear train model with uncertainties. Additionally, a gap reference generation scheme is developed that ensures that the merge and separation of two trains is completed before a given location and respects constraints on acceleration and jerk. The position and velocity measurement errors arising from imperfect knowledge of wheel diameters are also considered, and a new error correction scheme is proposed to reduce the perturbation in the gap control performance. The proposed schemes are validated through simulations.
URI
http://hdl.handle.net/20.500.11750/16925
DOI
10.1109/TITS.2020.3019979
Publisher
Institute of Electrical and Electronics Engineers
Show Full Item Record

File Downloads

  • There are no files associated with this item.

공유

qrcode
공유하기

Related Researcher

은용순
Eun, Yongsoon은용순

Department of Electrical Engineering and Computer Science

read more

Total Views & Downloads