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A novel iterative learning approach for tracking control of high-speed trains subject to unknown time-varying delay

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posted on 2023-06-09, 22:19 authored by Yong Chen, Deqing Huang, Yanan LiYanan Li, Xiaoyun Feng
In this article, a novel iterative learning control scheme is proposed for high-speed trains, aiming to track the desired reference displacement and velocity, where the Krasovskii function is constructed to compensate for the negative influence of unknown time-varying speed delays. The main feature of the proposed approach is that the hyperbolic tangent function and the command filter are integrated into the learning controller to overcome the singularity problem that may occur during the control process and relax the requirement for the derivability of the desired velocity. The stability of control system is strictly proved through establishing the composite energy function, and the effectiveness is confirmed via numerical simulations. Compared with the existing works, the merits of the proposed control scheme lie in that more general nonlinear uncertainties are imposed on the dynamic model of train instead of the Lipschitz condition, and the reference acceleration assigned by the railway department is not required.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

IEEE Transactions on Automation Science and Engineering

ISSN

1545-5955

Publisher

Institute of Electrical and Electronics Engineers

Page range

1-9

Department affiliated with

  • Engineering and Design Publications

Notes

© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2020-12-01

First Open Access (FOA) Date

2021-01-11

First Compliant Deposit (FCD) Date

2020-12-01

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