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Precise Stop Control and Experimental Validation for Metro Train Overcoming Delays and Nonlinearities

Title
Precise Stop Control and Experimental Validation for Metro Train Overcoming Delays and Nonlinearities
Author(s)
Kim, J.Park, Jae GeunEun, Y.
Issued Date
2022-05
Citation
IEEE Transactions on Vehicular Technology, v.71, no.5, pp.4776 - 4787
Type
Article
Author Keywords
ActuatorsAutomatic train operatorBrakesDelaysExperimental validationForceFrictionKalman filterPrecise stop controlSimulationVelocity controlWheels
Keywords
SPEED CURVEOPTIMIZATIONEFFICIENTALGORITHMDESIGN
ISSN
0018-9545
Abstract
Automatic Train Operator (ATO) is a system equipped on metro trains and controls train operation. One of the main functions of ATO is precise stop control, which aims to ensure that a train stops at a designated position on the platform with errors within a predefined specification. Precise stop control is an important function because trains stopping outside of the specification adversely affect passenger safety and punctuality of operation schedule. It is difficult to achieve high accuracy and precision for an ATO since trains are heavy, train control feedback loops involve several steps that cause various levels of time delay, and the actuation has nonlinear characteristics. Moreover, although existing studies propose algorithms to overcome some of the said challenges, few include experimental validations because access to the experimental environment is extremely limited. In this work, we address each one of the challenges and propose a mitigation algorithm, respectively. Moreover, unlike other studies, we experimental validate on an actual train the proposed algorithms. The precise stop control performance is shown to be superior to that of existing system. IEEE
URI
http://hdl.handle.net/20.500.11750/17290
DOI
10.1109/TVT.2022.3158370
Publisher
Institute of Electrical and Electronics Engineers
Related Researcher
  • 은용순 Eun, Yongsoon
  • Research Interests Resilient control systems; Control systems with nonlinear sensors and actuators; Quasi-linear control systems; Intelligent transportation systems; Networked control systems
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Appears in Collections:
Department of Electrical Engineering and Computer Science DSC Lab(Dynamic Systems and Control Laboratory) 1. Journal Articles

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