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) (KAR id:60410)
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Official URL: 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) |
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DOI/Identification number: | 10.23919/ACC.2017.7963321 |
Subjects: | T Technology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Xinggang Yan |
Date Deposited: | 16 Feb 2017 10:51 UTC |
Last Modified: | 05 Nov 2024 10:53 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/60410 (The current URI for this page, for reference purposes) |
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