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Adaptive position tracking control of high-speed trains with piecewise dynamics

Mao, Zehui, Tao, Gang, Jiang, Bin, Yan, Xinggang (2017) Adaptive position tracking control of high-speed trains with piecewise dynamics. In: American Control Conference (ACC), 2017. American Control Conference (ACC), 2017. . pp. 2453-2458. Institute of Electrical and Electronics Engineers ISBN 978-1-5090-4583-9. E-ISBN 978-1-5090-5992-8. (doi:10.23919/ACC.2017.7963321)

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http://dx.doi.org/10.23919/ACC.2017.7963321

Abstract

This paper addresses the adaptive position track-ing control problem for high-speed trains with time-varying resistances and mass in the motion dynamics. To handel these time-varying parameters with piecewise constant characteris-tics, a piecewise constant model with unknown parameters is in-troduced for different train operation conditions. An integrated adaptive controller structure is constructed to have the capacity to achieve plant-model matching with known parameters and complete system parametrization with unknown parameters, which is desirable for adaptive tracking control. For the train position tracking requirement, the reference model system is speci?cally chosen. Stable adaptive laws are designed to update the adaptive controller parameters in the presence of the unknown piecewise constant system parameters. Closed-loop stability and asymptotic state tracking are proved. Simulation results on a high-speed train model are presented to illustrate the desired adaptive position tracking control performance.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.23919/ACC.2017.7963321
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Xinggang Yan
Date Deposited: 16 Feb 2017 10:51 UTC
Last Modified: 01 Aug 2019 10:41 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/60410 (The current URI for this page, for reference purposes)
Yan, Xinggang: https://orcid.org/0000-0003-2217-8398
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