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- Publisher
- Wiley
- Copyright
- © 2022 John Wiley & Sons, Ltd.
- ISSN
- 1049-8923
- eISSN
- 1099-1239
- DOI
- 10.1002/rnc.5984
- Publisher site
- See Article on Publisher Site
Abstract
In this article, a novel iterative learning control (ILC) scheme is presented for the operation control of high‐speed train (HST), where the velocity and displacement of HST are strictly limited to ensure safety and comfort. The model of HST constructed in the article is practical in the sense that both parametric and nonparametric uncertainties of system are addressed simultaneously. Backstepping design with the newly proposed barrier Lyapunov function is incorporated in analysis to ensure the uniform convergence of the state tracking error and that the constraint requirements on velocity and displacement would not be violated during the whole operation process. In the end, a simulation study is presented to demonstrate the efficacy of the proposed ILC law.
Journal
International Journal of Robust and Nonlinear Control – Wiley
Published: Apr 1, 2022
Keywords: barrier composite energy function; constraint; high‐speed train; iterative learning control